Petroleum Science最新文献_第3页

Oilfield sustainability and management: An optimization model for the reconstruction of oil and gas gathering systems based on potential location mining

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.12.011

Jie Chen, Wei Wang, Wen-Yuan Sun, Dong Li, Yu-Bo Jiao

The carbon emissions and cost during the construction phase are significant contributors to the oilfield lifecycle. As oilfields enter the late stage, the adaptability of facilities decreases. To achieve sustainable development, oilfield reconstruction was usually conducted in discrete rather than continuous space. Motivated by economic and sustainability goals, a 3-phase heuristic model for oilfield reconstruction was developed to mine potential locations in continuous space. In phase 1, considering the process characteristics of the oil and gas gathering system, potential locations were mined in continuous space. In phase 2, incorporating comprehensive reconstruction measures, a reconstruction model was established in discrete space. In phase 3, the topology was further adjusted in continuous space. Subsequently, the model was transformed into a single-objective mixed integer linear programming model using the augmented ε-constraint method. Numerical experiments revealed that the small number of potential locations could effectively reduce the reconstruction cost, and the quality of potential locations mined in phase 1 surpassed those generated in random or grid form. Case studies showed that cost and carbon emissions for a new block were reduced by up to 10.45% and 7.21 %, respectively. These reductions were because the potential locations mined in 1P reduced the number of metering stations, and 3P adjusted the locations of metering stations in continuous space to shorten the pipeline length. For an old oilfield, the load and connection ratios of the old metering station increased to 89.7% and 94.9%, respectively, enhancing operation efficiency. Meanwhile, recycling facilitated the diversification of reconstruction measures and yielded a profit of 582,573 ¥, constituting 5.56% of the total cost. This study adopted comprehensive reconstruction measures and tapped into potential reductions in cost and carbon emissions for oilfield reconstruction, offering valuable insights for future oilfield design and construction.

{"title":"Oilfield sustainability and management: An optimization model for the reconstruction of oil and gas gathering systems based on potential location mining","authors":"Jie Chen, Wei Wang, Wen-Yuan Sun, Dong Li, Yu-Bo Jiao","doi":"10.1016/j.petsci.2024.12.011","DOIUrl":"10.1016/j.petsci.2024.12.011","url":null,"abstract":"<div><div>The carbon emissions and cost during the construction phase are significant contributors to the oilfield lifecycle. As oilfields enter the late stage, the adaptability of facilities decreases. To achieve sustainable development, oilfield reconstruction was usually conducted in discrete rather than continuous space. Motivated by economic and sustainability goals, a 3-phase heuristic model for oilfield reconstruction was developed to mine potential locations in continuous space. In phase 1, considering the process characteristics of the oil and gas gathering system, potential locations were mined in continuous space. In phase 2, incorporating comprehensive reconstruction measures, a reconstruction model was established in discrete space. In phase 3, the topology was further adjusted in continuous space. Subsequently, the model was transformed into a single-objective mixed integer linear programming model using the augmented ε-constraint method. Numerical experiments revealed that the small number of potential locations could effectively reduce the reconstruction cost, and the quality of potential locations mined in phase 1 surpassed those generated in random or grid form. Case studies showed that cost and carbon emissions for a new block were reduced by up to 10.45% and 7.21 %, respectively. These reductions were because the potential locations mined in 1P reduced the number of metering stations, and 3P adjusted the locations of metering stations in continuous space to shorten the pipeline length. For an old oilfield, the load and connection ratios of the old metering station increased to 89.7% and 94.9%, respectively, enhancing operation efficiency. Meanwhile, recycling facilitated the diversification of reconstruction measures and yielded a profit of 582,573 ¥, constituting 5.56% of the total cost. This study adopted comprehensive reconstruction measures and tapped into potential reductions in cost and carbon emissions for oilfield reconstruction, offering valuable insights for future oilfield design and construction.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 935-955"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting the productivity of fractured horizontal wells using few-shot learning

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.11.001

Sen Wang , Wen Ge , Yu-Long Zhang , Qi-Hong Feng , Yong Qin , Ling-Feng Yue , Renatus Mahuyu , Jing Zhang

Predicting the productivity of multistage fractured horizontal wells plays an important role in exploiting unconventional resources. In recent years, machine learning (ML) models have emerged as a new approach for such studies. However, the scarcity of sufficient real data for model training often leads to imprecise predictions, even though the models trained with real data better characterize geological and engineering features. To tackle this issue, we propose an ML model that can obtain reliable results even with a small amount of data samples. Our model integrates the synthetic minority oversampling technique (SMOTE) to expand the data volume, the support vector machine (SVM) for model training, and the particle swarm optimization (PSO) algorithm for optimizing hyperparameters. To enhance the model performance, we conduct feature fusion and dimensionality reduction. Additionally, we examine the influences of different sample sizes and ML models for training. The proposed model demonstrates higher prediction accuracy and generalization ability, achieving a predicted R² value of up to 0.9 for the test set, compared to the traditional ML techniques with an R² of 0.13. This model accurately predicts the production of fractured horizontal wells even with limited samples, supplying an efficient tool for optimizing the production of unconventional resources. Importantly, the model holds the potential applicability to address similar challenges in other fields constrained by scarce data samples.

{"title":"Predicting the productivity of fractured horizontal wells using few-shot learning","authors":"Sen Wang , Wen Ge , Yu-Long Zhang , Qi-Hong Feng , Yong Qin , Ling-Feng Yue , Renatus Mahuyu , Jing Zhang","doi":"10.1016/j.petsci.2024.11.001","DOIUrl":"10.1016/j.petsci.2024.11.001","url":null,"abstract":"<div><div>Predicting the productivity of multistage fractured horizontal wells plays an important role in exploiting unconventional resources. In recent years, machine learning (ML) models have emerged as a new approach for such studies. However, the scarcity of sufficient real data for model training often leads to imprecise predictions, even though the models trained with real data better characterize geological and engineering features. To tackle this issue, we propose an ML model that can obtain reliable results even with a small amount of data samples. Our model integrates the synthetic minority oversampling technique (SMOTE) to expand the data volume, the support vector machine (SVM) for model training, and the particle swarm optimization (PSO) algorithm for optimizing hyperparameters. To enhance the model performance, we conduct feature fusion and dimensionality reduction. Additionally, we examine the influences of different sample sizes and ML models for training. The proposed model demonstrates higher prediction accuracy and generalization ability, achieving a predicted <em>R</em><sup>2</sup> value of up to 0.9 for the test set, compared to the traditional ML techniques with an <em>R</em><sup>2</sup> of 0.13. This model accurately predicts the production of fractured horizontal wells even with limited samples, supplying an efficient tool for optimizing the production of unconventional resources. Importantly, the model holds the potential applicability to address similar challenges in other fields constrained by scarce data samples.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 787-804"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative analysis of rock breakage characteristics and failure mode on conventional and conical PDC cutter cutting carbonate

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.12.016

Xin-Kang Fu , Chao Xiong , Huai-Zhong Shi , Wen-Hao He , Lu-Hai Wang , Zhong-Wei Huang

The oil and gas stored in deep and ultra-deep carbonate reservoirs is the focus of future exploration and development. Conical PDC (Polycrystalline Diamond Compact) cutter, which is a new kind of PDC cutter, can significantly improve the rate of penetration (ROP) and extend PDC bit life in hard and abrasive formations. However, the breakage characteristics and failure mode of the conical PDC cutter cutting carbonate rock is still masked. In this paper, a series of single-cutter cutting tests were carried out with the conical and conventional PDC cutters. The cutting force, rock-breaking process, surface morphology of cutting grooves and cuttings characteristic were analyzed. Based on the derived formula of the brittle fracture index, the failure model of carbonate rock was quantitatively analyzed under the action of conical and conventional cutter. The results show that the average cutting force of the conical cutter is less than that of the conventional cutter, which means greater stability of the cutting process using the conical cutter. Carbonate rock with calcite as the main component tends to generate blocky rock debris by conical cutter. The height of the cuttings generated by the conical cutter is 0.5 mm higher than that generated by the conventional cutter. The conical cutter exhibits enhanced penetration capabilities within carbonate rock. The accumulation of rock debris in front of the conventional cutter is obvious. Whereas, the conical cutter facilitates the cuttings transport, thereby alleviating drilling stickiness slip. At different cutting depths, the conical cutter consistently causes asymmetric jagged brittle tensile fracture zones on both sides of the cutting groove. Calculations based on the brittle fracture index demonstrate that the brittle fracture index of the conical cutter generally doubles that of the conventional cutter. For carbonate rock, the conical cutter displays superior utilization of brittle fracture abilities. The research findings of this work offer insights into the breakage process and failure mode of carbonate rock by the conical cutter.

{"title":"Comparative analysis of rock breakage characteristics and failure mode on conventional and conical PDC cutter cutting carbonate","authors":"Xin-Kang Fu , Chao Xiong , Huai-Zhong Shi , Wen-Hao He , Lu-Hai Wang , Zhong-Wei Huang","doi":"10.1016/j.petsci.2024.12.016","DOIUrl":"10.1016/j.petsci.2024.12.016","url":null,"abstract":"<div><div>The oil and gas stored in deep and ultra-deep carbonate reservoirs is the focus of future exploration and development. Conical PDC (Polycrystalline Diamond Compact) cutter, which is a new kind of PDC cutter, can significantly improve the rate of penetration (ROP) and extend PDC bit life in hard and abrasive formations. However, the breakage characteristics and failure mode of the conical PDC cutter cutting carbonate rock is still masked. In this paper, a series of single-cutter cutting tests were carried out with the conical and conventional PDC cutters. The cutting force, rock-breaking process, surface morphology of cutting grooves and cuttings characteristic were analyzed. Based on the derived formula of the brittle fracture index, the failure model of carbonate rock was quantitatively analyzed under the action of conical and conventional cutter. The results show that the average cutting force of the conical cutter is less than that of the conventional cutter, which means greater stability of the cutting process using the conical cutter. Carbonate rock with calcite as the main component tends to generate blocky rock debris by conical cutter. The height of the cuttings generated by the conical cutter is 0.5 mm higher than that generated by the conventional cutter. The conical cutter exhibits enhanced penetration capabilities within carbonate rock. The accumulation of rock debris in front of the conventional cutter is obvious. Whereas, the conical cutter facilitates the cuttings transport, thereby alleviating drilling stickiness slip. At different cutting depths, the conical cutter consistently causes asymmetric jagged brittle tensile fracture zones on both sides of the cutting groove. Calculations based on the brittle fracture index demonstrate that the brittle fracture index of the conical cutter generally doubles that of the conventional cutter. For carbonate rock, the conical cutter displays superior utilization of brittle fracture abilities. The research findings of this work offer insights into the breakage process and failure mode of carbonate rock by the conical cutter.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 821-834"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental investigation of hybrid enhanced oil recovery techniques for Ugnu Heavy Oil on Alaska North Slope

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.11.005

Temitope Fred Ogunkunle , Hyun Woong Jang , Asad Hassan Syed , Rian Billings , Lixing Lin , Yin Zhang , Abhijit Dandekar

The Alaska North Slope (ANS) is endowed with a substantial reservoir of heavy oil, estimated at 12–18 billion barrels, primarily concentrated within the Ugnu reservoirs. These deposits, situated at depths ranging from 2000 to 4000 feet, lie in close proximity to the permafrost and have undergone biodegradation, resulting in in-situ viscosities reaching thousands of centipoise. Following the success in recovering the somewhat less heavy, viscous oils through polymer injection, the deposits in Ugnu Formation are garnering significant interest. Although thermal recovery methods are commonplace for heavy oils, applying these methods on ANS is impractical, given the adjacency to continuous permafrost. Therefore, non-thermal hybrid enhanced oil recovery (cEOR) methods, such as solvent (e.g., CO₂) and low salinity water (LSW), or LSW and polymer-based techniques, emerge as the primarily feasible options for recovering these vast heavy oil resources. This study experimentally investigates, via systematically carried out fluid property and phase behavior tests and a series of sand-pack coreflood experiments, the potential to enhance the recovery of Ugnu heavy oils. The coreflood experiments reveal the synergistic effect of combining liquid-CO₂ with LSW to be the most promising approach in this study as a water alternating gas (WAG) process results in the cumulative recovery factor of 83.5%, doubling the recovery obtained by continuous low salinity waterflood. Additionally, the liquid-CO₂-LSW WAG process demonstrated an additional benefit for CO₂ storage, with about 25% of the pore volume of the liquid-CO₂ injected being sequestered at the end of the injection process. This significant recovery improvement is attributed to a substantial reduction of oil viscosity upon contact with the liquid CO₂ during the soaking period, with a reduction of up to 95% of the original oil viscosity. Meanwhile, in-situ emulsion generation was observed in the oil produced from the continuous LSW flooding. This was also evident by the increased differential pressure across the sand-pack compared to that of the liquid-CO₂ alternating LSW process. The promising results of this study indicate significant potential for liquid-CO₂ alternating LSW injection as an effective cEOR technique for Ugnu heavy oils.

{"title":"Experimental investigation of hybrid enhanced oil recovery techniques for Ugnu Heavy Oil on Alaska North Slope","authors":"Temitope Fred Ogunkunle , Hyun Woong Jang , Asad Hassan Syed , Rian Billings , Lixing Lin , Yin Zhang , Abhijit Dandekar","doi":"10.1016/j.petsci.2024.11.005","DOIUrl":"10.1016/j.petsci.2024.11.005","url":null,"abstract":"<div><div>The Alaska North Slope (ANS) is endowed with a substantial reservoir of heavy oil, estimated at 12–18 billion barrels, primarily concentrated within the Ugnu reservoirs. These deposits, situated at depths ranging from 2000 to 4000 feet, lie in close proximity to the permafrost and have undergone biodegradation, resulting in in-situ viscosities reaching thousands of centipoise. Following the success in recovering the somewhat less heavy, viscous oils through polymer injection, the deposits in Ugnu Formation are garnering significant interest. Although thermal recovery methods are commonplace for heavy oils, applying these methods on ANS is impractical, given the adjacency to continuous permafrost. Therefore, non-thermal hybrid enhanced oil recovery (cEOR) methods, such as solvent (e.g., CO<sub>2</sub>) and low salinity water (LSW), or LSW and polymer-based techniques, emerge as the primarily feasible options for recovering these vast heavy oil resources. This study experimentally investigates, via systematically carried out fluid property and phase behavior tests and a series of sand-pack coreflood experiments, the potential to enhance the recovery of Ugnu heavy oils. The coreflood experiments reveal the synergistic effect of combining liquid-CO<sub>2</sub> with LSW to be the most promising approach in this study as a water alternating gas (WAG) process results in the cumulative recovery factor of 83.5%, doubling the recovery obtained by continuous low salinity waterflood. Additionally, the liquid-CO<sub>2</sub>-LSW WAG process demonstrated an additional benefit for CO<sub>2</sub> storage, with about 25% of the pore volume of the liquid-CO<sub>2</sub> injected being sequestered at the end of the injection process. This significant recovery improvement is attributed to a substantial reduction of oil viscosity upon contact with the liquid CO<sub>2</sub> during the soaking period, with a reduction of up to 95% of the original oil viscosity. Meanwhile, in-situ emulsion generation was observed in the oil produced from the continuous LSW flooding. This was also evident by the increased differential pressure across the sand-pack compared to that of the liquid-CO<sub>2</sub> alternating LSW process. The promising results of this study indicate significant potential for liquid-CO<sub>2</sub> alternating LSW injection as an effective cEOR technique for Ugnu heavy oils.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 710-723"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning approaches for assessing stability in acid-crude oil emulsions: Application to mitigate formation damage

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.09.013

Sina Shakouri , Maysam Mohammadzadeh-Shirazi

The stability of acid-crude oil emulsion poses manifold issues in the oil industry. Experimentally evaluating this phenomenon may be costly and time-consuming. In contrast, machine learning models have proven effective in predicting and evaluating various phenomena. This research is the first of its kind to assess the stability of acid-crude oil emulsion, employing various classification machine learning models. For this purpose, a data set consisting of 249 experimental data points belonging to 11 different crude oil samples was collected. Three tree-based models, namely decision tree (DT), random forest (RF), and categorical boosting (CatBoost), as well as three artificial neural network models, namely radial basis function (RBF), multi-layer perceptron (MLP) and convolutional neural network (CNN), were developed based on the properties of crude oil, acid, and protective additive. The CatBoost model obtained the highest accuracy with 0.9687, followed closely by the CNN model with 0.9673. In addition, confusion matrix findings showed the superiority of the CatBoost model. Finally, by applying the SHapley Additive exPlanations (SHAP) method to analyze the impact of input parameters, it was found that the crude oil viscosity has the most significant effect on the model's output with the mean absolute SHAP value of 0.88.

{"title":"Machine learning approaches for assessing stability in acid-crude oil emulsions: Application to mitigate formation damage","authors":"Sina Shakouri , Maysam Mohammadzadeh-Shirazi","doi":"10.1016/j.petsci.2024.09.013","DOIUrl":"10.1016/j.petsci.2024.09.013","url":null,"abstract":"<div><div>The stability of acid-crude oil emulsion poses manifold issues in the oil industry. Experimentally evaluating this phenomenon may be costly and time-consuming. In contrast, machine learning models have proven effective in predicting and evaluating various phenomena. This research is the first of its kind to assess the stability of acid-crude oil emulsion, employing various classification machine learning models. For this purpose, a data set consisting of 249 experimental data points belonging to 11 different crude oil samples was collected. Three tree-based models, namely decision tree (DT), random forest (RF), and categorical boosting (CatBoost), as well as three artificial neural network models, namely radial basis function (RBF), multi-layer perceptron (MLP) and convolutional neural network (CNN), were developed based on the properties of crude oil, acid, and protective additive. The CatBoost model obtained the highest accuracy with 0.9687, followed closely by the CNN model with 0.9673. In addition, confusion matrix findings showed the superiority of the CatBoost model. Finally, by applying the SHapley Additive exPlanations (SHAP) method to analyze the impact of input parameters, it was found that the crude oil viscosity has the most significant effect on the model's output with the mean absolute SHAP value of 0.88.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 894-908"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on multi-wave joint elastic modulus inversion based on improved quantum particle swarm optimization

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.10.006

Peng-Qi Wang , Xing-Ye Liu , Qing-Chun Li , Yi-Fan Feng , Tao Yang , Xia-Wan Zhou , Xu-Kun He

Young's modulus and Poisson's ratio are crucial parameters for reservoir characterization and rock brittleness evaluation. Conventional methods often rely on indirect computation or approximations of the Zoeppritz equations to estimate Young's modulus, which can introduce cumulative errors and reduce the accuracy of inversion results. To address these issues, this paper introduces the analytical solution of the Zoeppritz equation into the inversion process. The equation is re-derived and expressed in terms of Young's modulus, Poisson's ratio, and density. Within the Bayesian framework, we construct an objective function for the joint inversion of PP and PS waves. Traditional gradient-based algorithms often suffer from low precision and the computational complexity. In this study, we address limitations of conventional approaches related to low precision and complicated code by using Circle chaotic mapping, Lévy flights, and Gaussian mutation to optimize the quantum particle swarm optimization (QPSO), named improved quantum particle swarm optimization (IQPSO). The IQPSO demonstrates superior global optimization capabilities. We test the proposed inversion method with both synthetic and field data. The test results demonstrate the proposed method's feasibility and effectiveness, indicating an improvement in inversion accuracy over traditional methods.

{"title":"Research on multi-wave joint elastic modulus inversion based on improved quantum particle swarm optimization","authors":"Peng-Qi Wang , Xing-Ye Liu , Qing-Chun Li , Yi-Fan Feng , Tao Yang , Xia-Wan Zhou , Xu-Kun He","doi":"10.1016/j.petsci.2024.10.006","DOIUrl":"10.1016/j.petsci.2024.10.006","url":null,"abstract":"<div><div>Young's modulus and Poisson's ratio are crucial parameters for reservoir characterization and rock brittleness evaluation. Conventional methods often rely on indirect computation or approximations of the Zoeppritz equations to estimate Young's modulus, which can introduce cumulative errors and reduce the accuracy of inversion results. To address these issues, this paper introduces the analytical solution of the Zoeppritz equation into the inversion process. The equation is re-derived and expressed in terms of Young's modulus, Poisson's ratio, and density. Within the Bayesian framework, we construct an objective function for the joint inversion of PP and PS waves. Traditional gradient-based algorithms often suffer from low precision and the computational complexity. In this study, we address limitations of conventional approaches related to low precision and complicated code by using Circle chaotic mapping, Lévy flights, and Gaussian mutation to optimize the quantum particle swarm optimization (QPSO), named improved quantum particle swarm optimization (IQPSO). The IQPSO demonstrates superior global optimization capabilities. We test the proposed inversion method with both synthetic and field data. The test results demonstrate the proposed method's feasibility and effectiveness, indicating an improvement in inversion accuracy over traditional methods.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 670-683"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction of a foaming agent containing hydroxysulfobetaine and α-olefin sulfonate for clastic reservoirs with high temperature and high salinity

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.11.011

Long-Jie Li , Ji-Jiang Ge , Peng-Fei Chen , Peng-Ju Chu

High-temperature and high-salt reservoirs are often accompanied by serious gas channeling in gas flooding, which will greatly affect the effect of gas injection development, so in-situ foaming of temperature-resistant and salt-resistant foaming agents is commonly used to control gas channeling. The feasibility of the compound system of dodecyl hydroxyl sulfobetaine (HSB12) and α-olefin sulfonate (AOS) as foaming agent for sandstone reservoir was studied at 130 °C and 22 × 10⁴ mg/L. The results showed that the foaming agent (HSB12 and AOS were compounded in a 6:1 mass ratio, in this article, this foaming agent is simply referred to as SA61) had good solubility in 22 × 10⁴ mg/L simulated formation water. Besides, the foaming volume of SA61 and HSB12 was similar, but the foam decay half-life of SA61 was 10–25 times higher than that of HSB12. The foaming performance of SA61 on the surface of quartz sand remained above 90% of that before adsorption. The strong interaction between HSB12 and AOS in the compound system SA61 was demonstrated by surface rheological measurements and NMR studies of surfactants. The results of core flow test showed that SA61 had better mobility control ability than HSB12 under the same surfactant concentration. In addition, SA61 showed a selective mobility reduction in 2005.30 and 632.00 mD cores. The above research results can guide the selection and application of foaming agent in clastic reservoir.

{"title":"Construction of a foaming agent containing hydroxysulfobetaine and α-olefin sulfonate for clastic reservoirs with high temperature and high salinity","authors":"Long-Jie Li , Ji-Jiang Ge , Peng-Fei Chen , Peng-Ju Chu","doi":"10.1016/j.petsci.2024.11.011","DOIUrl":"10.1016/j.petsci.2024.11.011","url":null,"abstract":"<div><div>High-temperature and high-salt reservoirs are often accompanied by serious gas channeling in gas flooding, which will greatly affect the effect of gas injection development, so in-situ foaming of temperature-resistant and salt-resistant foaming agents is commonly used to control gas channeling. The feasibility of the compound system of dodecyl hydroxyl sulfobetaine (HSB12) and <em>α</em>-olefin sulfonate (AOS) as foaming agent for sandstone reservoir was studied at 130 °C and 22 × 10<sup>4</sup> mg/L. The results showed that the foaming agent (HSB12 and AOS were compounded in a 6:1 mass ratio, in this article, this foaming agent is simply referred to as SA61) had good solubility in 22 × 10<sup>4</sup> mg/L simulated formation water. Besides, the foaming volume of SA61 and HSB12 was similar, but the foam decay half-life of SA61 was 10–25 times higher than that of HSB12. The foaming performance of SA61 on the surface of quartz sand remained above 90% of that before adsorption. The strong interaction between HSB12 and AOS in the compound system SA61 was demonstrated by surface rheological measurements and NMR studies of surfactants. The results of core flow test showed that SA61 had better mobility control ability than HSB12 under the same surfactant concentration. In addition, SA61 showed a selective mobility reduction in 2005.30 and 632.00 mD cores. The above research results can guide the selection and application of foaming agent in clastic reservoir.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 771-786"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geochemistry and formation conditions of the Domanik sediments (Semiluksk horizon) in the Volga-Ural petroleum province, Russia

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.12.021

Alexey Khayuzkin , Vladimir Morozov , Anton Kolchugin , Yousef Ibrahem , Eduard Korolev , Alexey Eskin , Timur Zakirov , Evgeniya Morozova , Nafis Nazimov , Flera Gazeeva

The study reconstructs the Upper Devonian Domanik sedimentation conditions using geochemical studies. Domanik sediments, the subject of study, are being developed in Russia's Volga-Ural petroleum province. Core samples have been collected from the South Tatar arch and the Birskaya saddle, totaling four wells. Macroscopic description, optical microscopic petrographic examination, X-ray analysis, X-ray fluorescence analysis, inductively coupled plasma mass spectrometry (ICP-MS), simultaneous thermal analyses, scanning electronic microscopy (SEM), Rock-Eval pyrolytic studies, and correlation analysis were among the methods used in the study. Carbonate rocks, carbonate-siliceous rocks enriched with organic matter, and carbonate breccias are the main identified lithotypes. The predominant rock-forming mineral in carbonate-siliceous rocks enriched with organic matter is quartz (chalcedony) of authigenic genesis. The lack of correlation between organic matter concentration and quartz, as well as the results of simultaneous thermal studies and SEM, suggest that quartz is present in both biogenic and chemogenic forms. The proxies Cd/Mo and Co × Mn were used for proving variable hydrodynamic conditions in the Domanik sediments sea: sediments were deposited under both stationary and seasonal upwelling conditions. The major bioproductivity of the Domanik sea was also influenced by hydrothermal activity. The proxy (Fe + Mn)/Ti data and the results of the rock genesis evaluation using the Zn-Ni-Co triangle diagram confirm this. The presence of hydrothermal fluids not only improved primary production in the paleobasin, but it additionally provided silica, as evidenced by the strong relationship between silica and exhalation components in carbonate-siliceous rocks. Volcanic activity had a slight impact on Domanik sediment genesis. Anoxia and euxinia in the Domanik sea were indicated by proxy U/Th-TOC and V/Cr-TOC data, as well as behavior of U-EF and Mo-EF on the covariation plot, which influenced organic matter burial in the sediments. Simultaneously, the terrigenous intake was limited. Carbonate breccias, which are common in the Domanik sediments section, developed as a result of the gravitational transfer of carbonate fragments into the carbonate-siliceous material, which might be driven by earthquakes.

{"title":"Geochemistry and formation conditions of the Domanik sediments (Semiluksk horizon) in the Volga-Ural petroleum province, Russia","authors":"Alexey Khayuzkin , Vladimir Morozov , Anton Kolchugin , Yousef Ibrahem , Eduard Korolev , Alexey Eskin , Timur Zakirov , Evgeniya Morozova , Nafis Nazimov , Flera Gazeeva","doi":"10.1016/j.petsci.2024.12.021","DOIUrl":"10.1016/j.petsci.2024.12.021","url":null,"abstract":"<div><div>The study reconstructs the Upper Devonian Domanik sedimentation conditions using geochemical studies. Domanik sediments, the subject of study, are being developed in Russia's Volga-Ural petroleum province. Core samples have been collected from the South Tatar arch and the Birskaya saddle, totaling four wells. Macroscopic description, optical microscopic petrographic examination, X-ray analysis, X-ray fluorescence analysis, inductively coupled plasma mass spectrometry (ICP-MS), simultaneous thermal analyses, scanning electronic microscopy (SEM), Rock-Eval pyrolytic studies, and correlation analysis were among the methods used in the study. Carbonate rocks, carbonate-siliceous rocks enriched with organic matter, and carbonate breccias are the main identified lithotypes. The predominant rock-forming mineral in carbonate-siliceous rocks enriched with organic matter is quartz (chalcedony) of authigenic genesis. The lack of correlation between organic matter concentration and quartz, as well as the results of simultaneous thermal studies and SEM, suggest that quartz is present in both biogenic and chemogenic forms. The proxies Cd/Mo and Co × Mn were used for proving variable hydrodynamic conditions in the Domanik sediments sea: sediments were deposited under both stationary and seasonal upwelling conditions. The major bioproductivity of the Domanik sea was also influenced by hydrothermal activity. The proxy (Fe + Mn)/Ti data and the results of the rock genesis evaluation using the Zn-Ni-Co triangle diagram confirm this. The presence of hydrothermal fluids not only improved primary production in the paleobasin, but it additionally provided silica, as evidenced by the strong relationship between silica and exhalation components in carbonate-siliceous rocks. Volcanic activity had a slight impact on Domanik sediment genesis. Anoxia and euxinia in the Domanik sea were indicated by proxy U/Th-TOC and V/Cr-TOC data, as well as behavior of U-EF and Mo-EF on the covariation plot, which influenced organic matter burial in the sediments. Simultaneously, the terrigenous intake was limited. Carbonate breccias, which are common in the Domanik sediments section, developed as a result of the gravitational transfer of carbonate fragments into the carbonate-siliceous material, which might be driven by earthquakes.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 607-626"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Molecular transformation of heavy oil during slurry phase hydrocracking process: Influences of operational conditions

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/j.petsci.2024.09.002

Jing-Man Lu , Yuan-Feng Wang , Zhi-Yuan Zhou , Jian-Xun Wu , Ya-He Zhang , Lin-Zhou Zhang , Quan Shi , Sheng-Bao He , Chun-Ming Xu

The influences of reaction temperature, duration, pressure, and catalyst concentration on the molecular transformation of residual slurry phase hydrocracking process were investigated. The molecular composition of the heteroatom compounds in the residue feedstock and its upgrading products were characterized using high-resolution Orbitrap mass spectrometry coupled with multiple ionization methods. The simultaneous promotion of cracking and hydrogenation reactions was observed with increasing of the reaction temperature and time. Specifically, there was a significant increase in the cracking degree of alkyl side chain, while the removal of low-condensation sulfur compounds such as sulfides and benzothiophenes was enhanced. In particular, the cracking reactions were more significantly facilitated by high temperatures, while an appropriately extended reaction time can result in the complete elimination of the aforementioned sulfur compounds with a lower degree of condensation. Under conditions of low hydrogen pressure and catalyst concentration, the products still exhibit a high relative abundance of easily convertible compounds such as sulfoxides, indicating a significant deficiency in the effectiveness of hydrogenation. The hydrogen pressure exhibits an optimal value, beyond which further increments have no effect on the composition and performance of the liquid product but can increase the yield of the liquid product. At significantly high catalyst concentration, the effect of desulfurization and deoxidation slightly diminishes, while the aromatic saturation of highly condensed compounds was notably enhanced. This hydrogenation saturation effect cannot be attained through manipulation of other operational parameters, thereby potentially benefiting subsequent product processing and utilization. This present study demonstrates a profound comprehension of the molecular-level residue slurry phase hydrocracking process, offering not only specific guide for process design and optimization but also valuable fundamental data for constructing reaction models at the molecular level.

{"title":"Molecular transformation of heavy oil during slurry phase hydrocracking process: Influences of operational conditions","authors":"Jing-Man Lu , Yuan-Feng Wang , Zhi-Yuan Zhou , Jian-Xun Wu , Ya-He Zhang , Lin-Zhou Zhang , Quan Shi , Sheng-Bao He , Chun-Ming Xu","doi":"10.1016/j.petsci.2024.09.002","DOIUrl":"10.1016/j.petsci.2024.09.002","url":null,"abstract":"<div><div>The influences of reaction temperature, duration, pressure, and catalyst concentration on the molecular transformation of residual slurry phase hydrocracking process were investigated. The molecular composition of the heteroatom compounds in the residue feedstock and its upgrading products were characterized using high-resolution Orbitrap mass spectrometry coupled with multiple ionization methods. The simultaneous promotion of cracking and hydrogenation reactions was observed with increasing of the reaction temperature and time. Specifically, there was a significant increase in the cracking degree of alkyl side chain, while the removal of low-condensation sulfur compounds such as sulfides and benzothiophenes was enhanced. In particular, the cracking reactions were more significantly facilitated by high temperatures, while an appropriately extended reaction time can result in the complete elimination of the aforementioned sulfur compounds with a lower degree of condensation. Under conditions of low hydrogen pressure and catalyst concentration, the products still exhibit a high relative abundance of easily convertible compounds such as sulfoxides, indicating a significant deficiency in the effectiveness of hydrogenation. The hydrogen pressure exhibits an optimal value, beyond which further increments have no effect on the composition and performance of the liquid product but can increase the yield of the liquid product. At significantly high catalyst concentration, the effect of desulfurization and deoxidation slightly diminishes, while the aromatic saturation of highly condensed compounds was notably enhanced. This hydrogenation saturation effect cannot be attained through manipulation of other operational parameters, thereby potentially benefiting subsequent product processing and utilization. This present study demonstrates a profound comprehension of the molecular-level residue slurry phase hydrocracking process, offering not only specific guide for process design and optimization but also valuable fundamental data for constructing reaction models at the molecular level.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 2","pages":"Pages 884-893"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

OFC

IF 6 1区工程技术 Q2 ENERGY & FUELS

Petroleum Science

Pub Date : 2025-02-01 DOI: 10.1016/S1995-8226(25)00029-9

引用次数: 0