Petroleum Science最新文献

{"title":"Experimental investigation on the effects of deep eutectic solvents (DES) on the wettability of sandstone samples","authors":"Jun-Hui Guo ,&nbsp;Yun-Fei Bai ,&nbsp;Lin Du ,&nbsp;Li-Ying Wei ,&nbsp;Yu Zhao ,&nbsp;Xian-Bao Zheng ,&nbsp;Er-Long Yang ,&nbsp;Zhi-Guo Wang ,&nbsp;Hai Huang ,&nbsp;Wen-Tong Zhang ,&nbsp;Hua-Zhou Li","doi":"10.1016/j.petsci.2024.12.002","DOIUrl":"10.1016/j.petsci.2024.12.002","url":null,"abstract":"<div><div>Recently, deep eutectic solvents (DES) have received great attention in assisting water flooding and surfactant flooding to improve oil recovery because they can reduce the interfacial tension (IFT) between oil and water, inhibit surfactant adsorption, and change the wettability of rock. However, the effects of DES on the wettability of rock surface have not been thoroughly investigated in the reported studies. In this study, the effects of various DES samples on the wettability of sandstone samples are investigated using the Amott wettability measurement method. Three DES samples and several DES solutions and DES-surfactant solutions are firstly synthesized. Then, the wettability of the sandstone samples is measured using pure saline water, DES solutions, and DES-surfactant solutions, respectively. The effects of the DES samples on the wettability of the sandstone samples are investigated by comparing the measured wettability parameters, including oil displacement ratio (<em>I</em>_o), water displacement ratio (<em>I</em>_w), and wettability index (<em>I</em>_A). The Berea rock sample used in this study is weakly hydrophilic with <em>I</em>_o, <em>I</em>_w, and <em>I</em>_A of 0.318, 0.032, and 0.286, respectively. Being processed by the prepared DES samples, the wettability of the Berea sandstone samples is altered to hydrophilic (0.7 &gt; <em>I</em>_A &gt; 0.3) by increasing <em>I</em>_w but lowering <em>I</em>_o. Similarly, DES-surfactant solutions can also modify the wettability of the Berea sandstone samples from weakly hydrophilic to hydrophilic. However, some DES-surfactant solutions can not only increase <em>I</em>_w but also increase <em>I</em>_o, suggesting that the lipophilicity of those sandstone samples will be improved by the DES-surfactant solutions. In addition, micromodel flooding tests confirm the promising performance of a DES-surfactant solution in improving oil recovery and altering wettability. Moreover, the possible mechanisms of DES and DES-surfactant solutions in altering the wettability of the Berea sandstone samples are proposed. DES samples may improve the hydrophilicity by forming hydrogen bonds between rock surface and water molecules. For DES-surfactant solutions, surfactant micelles can capture oil molecules to improve the lipophilicity of those sandstone samples.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1380-1390"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760067","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}

{"title":"Rock breakage and temperature rising of rock cutting after high-temperature treatment","authors":"Can Cai ,&nbsp;Wen-Yang Cao ,&nbsp;Xian-Peng Yang ,&nbsp;Quan-Gong Xie ,&nbsp;Bang-Run Li ,&nbsp;Zheng-Bo Tan ,&nbsp;Chun-Liang Zhang ,&nbsp;Chi Peng ,&nbsp;Hao Chen ,&nbsp;Yu-Long Zhao","doi":"10.1016/j.petsci.2025.02.007","DOIUrl":"10.1016/j.petsci.2025.02.007","url":null,"abstract":"<div><div>Geothermal energy is a clean and ecologically friendly energy source with significant potential. The temperature variations between the Polycrystalline Diamond Compact (PDC) cutter and the rock of the reservoir are the key factors affecting the cutting performance when drilling through formations with thermally damaged rock. To better investigate the temperature rise, a series of rock samples treated at high temperatures (9–300 °C) were broken with a PDC cutter. The performance of the PDC cutter on these samples was studied using cutting force sensors, high-speed photography, and the thermal infrared imager. Based on the experimental data, a new cutting force evaluation parameter, <em>η</em>, is suggested. The link between the cutting force and rock properties is discussed in detail. The present results indicate that the average cutting force of high-temperature-treated granite is 3–5 times that of the thermally damaged sandstone. Furthermore, a critical temperature for thermal damage has been identified in granite cutting at 100–200 °C and in sandstone at 100 °C. This corresponds to the temperature at which interlayer water loss and thermal crack closure occur. The results also indicate that when the treatment temperature exceeds the critical threshold, both the cutting force and temperature rise exhibit more significant changes with increasing temperature. Additionally, the maximum temperature of the PDC cutter during granite cutting can reach 47.6 °C, which is almost 34 °C higher than that of sandstone. Regarding debris size, granite is much less sensitive to the treatment temperature, showing only slight changes in debris size compared to sandstone as the treatment temperature increases. The increasing cutter-rock interface area can significantly reduce frictional heat generation while increasing the cutting force and enhancing the temperature rise. The parameter valuation of the newly defined parameter <em>η</em>, which is related to frictional heating, shows that the capacity of the thermal generation and the heat transfer change as the temperature rises at the cutter-rock interface. At last, the correlation analysis indicates that the cutting force of sandstone and granite is highly correlated with <span><math><mrow><msubsup><mi>σ</mi><mi>t</mi><mn>2</mn></msubsup><mo>/</mo><msub><mi>σ</mi><mi>c</mi></msub></mrow></math></span>, <em>E</em>/<em>σ</em>_c and <em>σ</em>_t. This study serves as a theoretical support and technical guidance for cutting hot dry rock (HDR), which is of great significance to HDR drilling.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1289-1306"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760148","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}

{"title":"Unraveling key factors that influence and shape fluid flow dynamics in Brazilian salt Lagoon stromatolites: A case study in pre-salt analogues","authors":"Herson Oliveira da Rocha ,&nbsp;Roseane Marchezi Missagia ,&nbsp;Marco Antonio Rodrigues de Ceia ,&nbsp;André Oliveira Martins ,&nbsp;Rafaella Rocha Baggieri ,&nbsp;Irineu de Azevedo Lima Neto ,&nbsp;Victor Hugo Santos ,&nbsp;Lucas Cesar Oliveira","doi":"10.1016/j.petsci.2024.12.009","DOIUrl":"10.1016/j.petsci.2024.12.009","url":null,"abstract":"<div><div>This study analyzes Brazilian stromatolites in Lagoa Salgada, serving as analogs for pre-salt rocks in the Santos and Campos basins. Despite their excellent petrophysical properties, such as high porosity and permeability, these reservoirs present challenges in fluid flow modeling and simulation. The research investigates various factors influencing the development of carbonate reservoirs, including diagenetic processes employing several techniques, such as microcomputed tomography (micro-CT) and digital rock physics (DRP), to study petrophysical and geological characteristics. Additionally, through numerical simulations, the properties of fluid flow in different microfacies of stromatolites are estimated, with particular emphasis on understanding and highlighting changes in the direction of fluid flow in the three characterized microfacies. These findings offer crucial insights into optimizing oil and gas exploration and production techniques in carbonate reservoirs, providing a comprehensive understanding of the dynamics of fluid transport in porous media, especially in terms of directional changes within stromatolites.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1080-1097"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760224","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}

{"title":"An integrated method of data-driven and mechanism models for formation evaluation with logs","authors":"Meng-Lu Kang ,&nbsp;Jun Zhou ,&nbsp;Juan Zhang ,&nbsp;Li-Zhi Xiao ,&nbsp;Guang-Zhi Liao ,&nbsp;Rong-Bo Shao ,&nbsp;Gang Luo","doi":"10.1016/j.petsci.2025.01.004","DOIUrl":"10.1016/j.petsci.2025.01.004","url":null,"abstract":"<div><div>We propose an integrated method of data-driven and mechanism models for well logging formation evaluation, explicitly focusing on predicting reservoir parameters, such as porosity and water saturation. Accurately interpreting these parameters is crucial for effectively exploring and developing oil and gas. However, with the increasing complexity of geological conditions in this industry, there is a growing demand for improved accuracy in reservoir parameter prediction, leading to higher costs associated with manual interpretation. The conventional logging interpretation methods rely on empirical relationships between logging data and reservoir parameters, which suffer from low interpretation efficiency, intense subjectivity, and suitability for ideal conditions. The application of artificial intelligence in the interpretation of logging data provides a new solution to the problems existing in traditional methods. It is expected to improve the accuracy and efficiency of the interpretation. If large and high-quality datasets exist, data-driven models can reveal relationships of arbitrary complexity. Nevertheless, constructing sufficiently large logging datasets with reliable labels remains challenging, making it difficult to apply data-driven models effectively in logging data interpretation. Furthermore, data-driven models often act as “black boxes” without explaining their predictions or ensuring compliance with primary physical constraints. This paper proposes a machine learning method with strong physical constraints by integrating mechanism and data-driven models. Prior knowledge of logging data interpretation is embedded into machine learning regarding network structure, loss function, and optimization algorithm. We employ the Physically Informed Auto-Encoder (PIAE) to predict porosity and water saturation, which can be trained without labeled reservoir parameters using self-supervised learning techniques. This approach effectively achieves automated interpretation and facilitates generalization across diverse datasets.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1110-1124"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760226","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}

{"title":"Adaptive subtraction with 3D U-net and 3D data windows to suppress seismic multiples","authors":"Jin-Qiang Huang ,&nbsp;Li-Yun Fu ,&nbsp;Jia-Hui Ma ,&nbsp;Xing-Zhong Du ,&nbsp;Zhong-Xiao Li ,&nbsp;Ke-Yi Sun","doi":"10.1016/j.petsci.2025.01.010","DOIUrl":"10.1016/j.petsci.2025.01.010","url":null,"abstract":"<div><div>The deep convolutional neural network U-net has been introduced into adaptive subtraction, which is a critical step in effectively suppressing seismic multiples. The U-net approach has higher precision than the traditional linear regression approach. However, the existing 2D U-net approach with 2D data windows can not deal with elaborate discrepancies between the actual and simulated multiples along the gather direction. It may lead to erroneous preservation of primaries or generate obvious vestigial multiples, especially in complex media. To further enhance the multiple suppression accuracy, we present an adaptive subtraction approach utilizing 3D U-net architecture, which can adaptively separate primaries and multiples utilizing 3D windows. The utilization of 3D windows allows for enhanced depiction of spatial continuity and anisotropy of seismic events along the gather direction in comparison to 2D windows. The 3D U-net approach with 3D windows can more effectively preserve the continuity of primaries and manage the complex disparities between the actual and simulated multiples. The proposed 3D U-net approach exhibits 1 dB improvement in the signal-to-noise ratio compared to the 2D U-net approach, as observed in the synthesis data section, and exhibits more outstanding performance in the preservation of primaries and removal of residual multiples in both synthesis and reality data sections. Moreover, to expedite network training in our proposed 3D U-net approach we employ the transfer learning (TL) strategy by utilizing the network parameters of 3D U-net estimated in the preceding data segment as the initial network parameters of 3D U-net for the subsequent data segment. In the reality data section, the 3D U-net approach incorporating TL reduces the computational expense by 70% compared to the one without TL.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1125-1139"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760227","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}

{"title":"OFC","authors":"","doi":"10.1016/S1995-8226(25)00078-0","DOIUrl":"10.1016/S1995-8226(25)00078-0","url":null,"abstract":"","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Page OFC"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760315","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}

{"title":"Energy and heat transfer analysis on the heating process of crude oil tank with mechanical stirring","authors":"Jian Zhao ,&nbsp;Ming-Yu Lei ,&nbsp;Shu-Qi Liu ,&nbsp;Hang Dong","doi":"10.1016/j.petsci.2024.12.020","DOIUrl":"10.1016/j.petsci.2024.12.020","url":null,"abstract":"<div><div>Taking into account the characteristics of non-Newtonian fluids and the influence of latent heat of wax crystallization, this study establishes physical and mathematical models for the synergy of tubular heating and mechanical stirring during the waxy crude oil heating process. Numerical calculations are conducted using the sliding grid technique and FVM. The focus of this study is on the impact of stirring rate (<em>τ</em>), horizontal deflection angle (<em>θ</em>₁), vertical deflection angle (<em>θ</em>₂), and stirring diameter (<em>D</em>) on the heating effect of crude oil. Our results show that as <em>τ</em> increases from 200 rpm to 500 rpm and <em>D</em> increases from 400 mm to 600 mm, there is an improvement in the average crude oil temperature and temperature uniformity. Additionally, heating efficiency increases by 0.5% and 1%, while the volume of the low-temperature region decreases by 57.01 m³ and 36.87 m³, respectively. As <em>θ</em>₁ and <em>θ</em>₂ increase from 0° to 12°, the average crude oil temperature, temperature uniformity, and heating efficiency decrease, while the volume of the low-temperature region remains basically the same. Grey correlation analysis is used to rank the importance of stirring parameters in the following order: <em>τ</em>&gt;<em>θ</em>₁&gt;<em>θ</em>₂&gt;<em>D</em>. Subsequently, multiple regression analysis is used to quantitatively describe the relationship between different stirring parameters and heat transfer evaluation indices through equations. Finally, based on entropy generation minimization, the stirring parameters with optimal heat transfer performance are obtained when <em>τ</em> = 350 rpm, <em>θ</em>₁ <em>= θ</em>₂ = 0°, and <em>D =</em> 500 mm.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1307-1339"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760149","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}

{"title":"Self-supervised simultaneous deblending and interpolation of incomplete blended data using a multistep blind-trace U-Net","authors":"Ben-Feng Wang,&nbsp;Shi-Cong Lin,&nbsp;Xin-Yi Chen","doi":"10.1016/j.petsci.2024.12.023","DOIUrl":"10.1016/j.petsci.2024.12.023","url":null,"abstract":"<div><div>Blended acquisition offers efficiency improvements over conventional seismic data acquisition, at the cost of introducing blending noise effects. Besides, seismic data often suffers from irregularly missing shots caused by artificial or natural effects during blended acquisition. Therefore, blending noise attenuation and missing shots reconstruction are essential for providing high-quality seismic data for further seismic processing and interpretation. The iterative shrinkage thresholding algorithm can help obtain deblended data based on sparsity assumptions of complete unblended data, and it characterizes seismic data linearly. Supervised learning algorithms can effectively capture the nonlinear relationship between incomplete pseudo-deblended data and complete unblended data. However, the dependence on complete unblended labels limits their practicality in field applications. Consequently, a self-supervised algorithm is presented for simultaneous deblending and interpolation of incomplete blended data, which minimizes the difference between simulated and observed incomplete pseudo-deblended data. The used blind-trace U-Net (BTU-Net) prevents identity mapping during complete unblended data estimation. Furthermore, a multistep process with blending noise simulation-subtraction and missing traces reconstruction-insertion is used in each step to improve the deblending and interpolation performance. Experiments with synthetic and field incomplete blended data demonstrate the effectiveness of the multistep self-supervised BTU-Net algorithm.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1098-1109"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760225","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}

{"title":"Water adsorption performance of over-mature shale and its relationship with organic and inorganic nanopores: A case study of Lower Cambrian shale from the Sichuan Basin, China","authors":"Yi-Jie Xing ,&nbsp;Xian-Ming Xiao ,&nbsp;Peng Cheng ,&nbsp;Yan-Ming Zhao ,&nbsp;Wei Liu","doi":"10.1016/j.petsci.2024.12.025","DOIUrl":"10.1016/j.petsci.2024.12.025","url":null,"abstract":"<div><div>The water adsorption performance of shale gas reservoirs is a very important factor affecting their gas in place (GIP) contents, but the water-holding capacity and mechanism of over-mature shale, especially organic pores, are still not fully understood. In this study, systematic water vapor adsorption (WVA) experiments were carried out on the Lower Cambrian over-mature shale and its kerogen from the Sichuan Basin, China to characterize their WVA behaviors, and combined with the low-pressure gas (N₂ and CO₂) adsorption experiments, the main influencing factors of WVA capacity of the shale and the absorbed-water distribution in its organic and inorganic nanopores were investigated. The results show that the WVA isotherms of shale and kerogen are all type Ⅱ, with an obvious hysteresis loop in the multilayer adsorption range, and that the positive relationship of the shale TOC content with the WVA capacity (including total adsorption capacity, primary adsorption capacity and secondary adsorption capacity) and WVA hysteresis index (AHIW), and the greater adsorption capacity and AHIW of kerogen than the shale, all indicate that the hydrophilicity of organic matter (OM) in the over-mature shale was underestimated in previous research. Although both the shale OM and clay minerals have a significant positive effect on the WVA, the former has a stronger adsorption ability than the latter. The WVA capacity of the studied Lower Cambrian shale is significantly greater than that of the Longmaxi shale reported in literatures, which was believed to be mainly attributed to its higher maturity, with a significant graphitization of OM. The shale micropores and non-micropores play an important role in WVA, especially OM pores. There are primary and secondary adsorption for water vapor in both the micropores and non-micropores of OM, while these adsorptions of minerals mainly occur in their non-micropores. These results have important guides for understanding the gas storage mechanism and exploration and development potential of marine over-mature shale in southern China, especially the Lower Cambrian shale.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 977-997"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760318","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}

{"title":"A robust seismic wavefield modeling method based on minimizing spatial simulation error using L2-norm cost function","authors":"Wei-Ting Peng ,&nbsp;Jian-Ping Huang","doi":"10.1016/j.petsci.2024.12.003","DOIUrl":"10.1016/j.petsci.2024.12.003","url":null,"abstract":"<div><div>To reduce the spatial simulation error generated by the finite difference method, previous researchers compute the optimal finite-difference weights always by minimizing the error of spatial dispersion relation. However, we prove that the spatial simulation error of the finite difference method is associated with the dot product of the spatial dispersion relation of the finite-difference weights and the spectrum of the seismic wavefield. Based on the dot product relation, we construct a <span><math><msub><mi>L</mi><mn>2</mn></msub></math></span> norm cost function to minimize spatial simulation error. For solving this optimization problem, the seismic wavefield information in wavenumber region is necessary. Nevertheless, the seismic wavefield is generally obtained by costly forward modeling techniques. To reduce the computational cost, we substitute the spectrum of the seismic wavelet for the spectrum of the seismic wavefield, as the seismic wavelet plays a key role in determining the seismic wavefield. In solving the optimization problem, we design an exhaustive search method to obtain the solution of the <span><math><msub><mi>L</mi><mn>2</mn></msub></math></span> norm optimization problem. After solving the optimization problem, we are able to achieve the finite-difference weights that minimize spatial simulation error. In theoretical error analyses, the finite-difference weights from the proposed method can output more accurate simulation results compared to those from previous optimization algorithms. Furthermore, we validate our method through numerical tests with synthetic models, which encompass homogenous/inhomogeneous media as well as isotropic and anisotropic media.</div></div>","PeriodicalId":19938,"journal":{"name":"Petroleum Science","volume":"22 3","pages":"Pages 1051-1061"},"PeriodicalIF":6.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760322","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}