Pub Date : 2021-10-18DOI: 10.3997/2214-4609.202112704
K. Qian, H. Zhang, J. Liu, Z. He, B. Chen, D. Jiang
Summary Shale reservoirs are characterized by its low porosity and permeability, strong heterogeneity and intensive anisotropy. Conventional geophysical methods are far from perfect when it comes to the prediction of shale sweet - spot. Based on algorithms such as fuzzy mathematics, machine learning and multiple regression analysis, an effective workflow is proposed to allow intelligent prediction of sweet - spots location and comprehensive quantitative characterization of shale oil and gas reservoirs. This workflow can effectively combine multi-scale and multi-disciplinary data such as geology, well drilling, well logging and seismic measurements. Following the maximum subordination and attribute optimization principle, we establish a machine-learning model by adopting the support vector machine method to arrive at multi-attribute prediction of reservoir sweet - spot location. Additionally, multiple regression analysis technology is applied to allow the quantification of a number of sweet-spot attributes. The practical application of these methods to areas of interest shows high accuracy and resolution of sweet - spot prediction, indicating that it is a good approach for describing the distribution of high quality regions within shale oil and gas reservoirs. Based on these sweet-spot attributes, quantitative characterization of unconventional reservoirs can provide a reliable evaluation of shale reservoir potential.
{"title":"Integral prediction of shale gas sweet spot based on a novel intelligent method","authors":"K. Qian, H. Zhang, J. Liu, Z. He, B. Chen, D. Jiang","doi":"10.3997/2214-4609.202112704","DOIUrl":"https://doi.org/10.3997/2214-4609.202112704","url":null,"abstract":"Summary Shale reservoirs are characterized by its low porosity and permeability, strong heterogeneity and intensive anisotropy. Conventional geophysical methods are far from perfect when it comes to the prediction of shale sweet - spot. Based on algorithms such as fuzzy mathematics, machine learning and multiple regression analysis, an effective workflow is proposed to allow intelligent prediction of sweet - spots location and comprehensive quantitative characterization of shale oil and gas reservoirs. This workflow can effectively combine multi-scale and multi-disciplinary data such as geology, well drilling, well logging and seismic measurements. Following the maximum subordination and attribute optimization principle, we establish a machine-learning model by adopting the support vector machine method to arrive at multi-attribute prediction of reservoir sweet - spot location. Additionally, multiple regression analysis technology is applied to allow the quantification of a number of sweet-spot attributes. The practical application of these methods to areas of interest shows high accuracy and resolution of sweet - spot prediction, indicating that it is a good approach for describing the distribution of high quality regions within shale oil and gas reservoirs. Based on these sweet-spot attributes, quantitative characterization of unconventional reservoirs can provide a reliable evaluation of shale reservoir potential.","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133059828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112755
Z. Qi, H. Ming, J. Wang, A. Alsofi
Introduction A large amount of carbonate reservoirs are characterized as preferentially oil-wet or intermediate wet (Okasha et al., 2007). In such reservoirs, the spontaneous imbibition of injection fluid into the carbonate matrix represents an important recovery mechanism. The enhancement of imbibition can be achieved by reduction of interfacial tension between oil and water phases, and wettability alteration of rock surface. Among the two factors, wettability alteration is considered dominating when conducting spontaneous imbibition, and many imbibition experiments have been reported in the literature targeting the wettability alteration to enhance oil production using different methods (Al-Hadhrami and Blunt, 2001; Zhang et al., 2006). Optimizing the salinity and ionic composition of injection brine can alter the wettability of carbonate rock surface because of surface charge alteration and microscopic anhydrite dissolution (RezaeiDoust et al., 2009). It was also reported that the favorable low salinity SmartWater/polymer synergy extends to spontaneous imbibition (AlSofi et al., 2019). The trials of optimized brine injection confirmed that in-house research results can be replicated at the well level (Yosef et al., 2012). Nanoparticles have been studied extensively for their wettability alteration ability. The presence of nanoparticles in the three-phase contact region creates a wedge structure, resulting in the removal of oil from the surface (Nazari et al., 2015).
大量碳酸盐岩储层的特征为优先亲油或中湿性(Okasha et al.， 2007)。在此类储层中，注入流体在碳酸盐基质中的自吸作用是一种重要的采收率机制。通过降低油水界面张力和改变岩石表面润湿性来增强渗吸。在这两个因素中，润湿性改变被认为是自发渗吸的主导因素，文献中已经报道了许多针对润湿性改变的渗吸实验，使用不同的方法来提高石油产量(Al-Hadhrami和Blunt, 2001;Zhang等人，2006)。由于表面电荷改变和微观硬石膏溶解，优化注入盐水的盐度和离子组成可以改变碳酸盐岩表面的润湿性(RezaeiDoust et al.， 2009)。据报道，有利的低盐度SmartWater/聚合物协同作用扩展到自发渗吸(AlSofi等，2019)。优化的盐水注入试验证实，内部研究结果可以在井级上复制(Yosef et al.， 2012)。纳米颗粒因其润湿性和改变能力而受到广泛的研究。纳米颗粒在三相接触区域的存在产生了一个楔形结构，导致油从表面去除(Nazari et al.， 2015)。
{"title":"Effect of Wettability Alteration in Chemical Enhanced Imbibition Using Surfactants with Different IFT Magnitudes for Carbonates","authors":"Z. Qi, H. Ming, J. Wang, A. Alsofi","doi":"10.3997/2214-4609.202112755","DOIUrl":"https://doi.org/10.3997/2214-4609.202112755","url":null,"abstract":"Introduction A large amount of carbonate reservoirs are characterized as preferentially oil-wet or intermediate wet (Okasha et al., 2007). In such reservoirs, the spontaneous imbibition of injection fluid into the carbonate matrix represents an important recovery mechanism. The enhancement of imbibition can be achieved by reduction of interfacial tension between oil and water phases, and wettability alteration of rock surface. Among the two factors, wettability alteration is considered dominating when conducting spontaneous imbibition, and many imbibition experiments have been reported in the literature targeting the wettability alteration to enhance oil production using different methods (Al-Hadhrami and Blunt, 2001; Zhang et al., 2006). Optimizing the salinity and ionic composition of injection brine can alter the wettability of carbonate rock surface because of surface charge alteration and microscopic anhydrite dissolution (RezaeiDoust et al., 2009). It was also reported that the favorable low salinity SmartWater/polymer synergy extends to spontaneous imbibition (AlSofi et al., 2019). The trials of optimized brine injection confirmed that in-house research results can be replicated at the well level (Yosef et al., 2012). Nanoparticles have been studied extensively for their wettability alteration ability. The presence of nanoparticles in the three-phase contact region creates a wedge structure, resulting in the removal of oil from the surface (Nazari et al., 2015).","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124466088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112747
E. Zhukovskaia, M. Tugarova, V. Krutko, B. Belozerov
Petrographic analysis for a long time has been one of the most demanded methods for determination of material-structural properties of hydrocarbon reservoirs rocks. However, the absence of the governmental regulation of the lithology-petrographic study of reservoir rocks led to variety of the methodological approaches for such studies. Often oil companies have result of multiple petrographic studies of one formation, performed by different contractors, but cannot summarize properly the data. It occurs due both to different methodological approaches of quantitative evaluation of grain size, mineralogy, amount and type of cement, grain contacts, and to different qualification and experience of specialists. Consequently, the question of unification of petrographic data is raised.
{"title":"Digital Sedimentology – a new tool for increasing the value of the pétrographie study","authors":"E. Zhukovskaia, M. Tugarova, V. Krutko, B. Belozerov","doi":"10.3997/2214-4609.202112747","DOIUrl":"https://doi.org/10.3997/2214-4609.202112747","url":null,"abstract":"Petrographic analysis for a long time has been one of the most demanded methods for determination of material-structural properties of hydrocarbon reservoirs rocks. However, the absence of the governmental regulation of the lithology-petrographic study of reservoir rocks led to variety of the methodological approaches for such studies. Often oil companies have result of multiple petrographic studies of one formation, performed by different contractors, but cannot summarize properly the data. It occurs due both to different methodological approaches of quantitative evaluation of grain size, mineralogy, amount and type of cement, grain contacts, and to different qualification and experience of specialists. Consequently, the question of unification of petrographic data is raised.","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129271417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1130/abs/2021am-371483
M. Morse, D. FitzGerald, J. Keetley, Simge Ayfer
{"title":"ROLE OF ADVANCED GEOPHYSICAL PROCESSING IN SEARCHING FOR THE NEXT GIANT GOLD-COPPER DEPOSIT IN NORTH SUMATRA","authors":"M. Morse, D. FitzGerald, J. Keetley, Simge Ayfer","doi":"10.1130/abs/2021am-371483","DOIUrl":"https://doi.org/10.1130/abs/2021am-371483","url":null,"abstract":"","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129842945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112709
W. Hsu, X. Xu, K. Zhang, Z. Li, D. Wang, Z. Wei
{"title":"Research on First-Break Picking Using Convolution Neural Networks","authors":"W. Hsu, X. Xu, K. Zhang, Z. Li, D. Wang, Z. Wei","doi":"10.3997/2214-4609.202112709","DOIUrl":"https://doi.org/10.3997/2214-4609.202112709","url":null,"abstract":"","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129177475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112706
Y. Yundong, S. Qin, Z. Huahui, Q. Shuhai, L. Huan
In some complex seismic exploration environment , seismic data often contains some continuous multichannel abnormal amplitudes caused by environment factor (wind, grass, water, etc.), which seriously affects the signal-to-noise ratio and imaging quality of seismic data. This kind of noise has certain randomness, it has no certain frequency and apparent velocity, existing almost in the whole record length in time, but it also has some determined properties, which is it happens in some certain areas in survey. Due to the random properties and the continuous existence in a large number traces, it is very hard to remove this kind of multi-channel strong energy noise completely under the amplitude preserved conditions directly in shot domain or detection domain or other domain, and the residual strong energy noise will still seriously affects the final imaging quality.
{"title":"Multichannel Abnormal Amplitude Reserving Attenuation Based on Data Random Reconstruction and Its Application","authors":"Y. Yundong, S. Qin, Z. Huahui, Q. Shuhai, L. Huan","doi":"10.3997/2214-4609.202112706","DOIUrl":"https://doi.org/10.3997/2214-4609.202112706","url":null,"abstract":"In some complex seismic exploration environment , seismic data often contains some continuous multichannel abnormal amplitudes caused by environment factor (wind, grass, water, etc.), which seriously affects the signal-to-noise ratio and imaging quality of seismic data. This kind of noise has certain randomness, it has no certain frequency and apparent velocity, existing almost in the whole record length in time, but it also has some determined properties, which is it happens in some certain areas in survey. Due to the random properties and the continuous existence in a large number traces, it is very hard to remove this kind of multi-channel strong energy noise completely under the amplitude preserved conditions directly in shot domain or detection domain or other domain, and the residual strong energy noise will still seriously affects the final imaging quality.","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121331052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112746
T. Bhakta, M. Lien, T. Mannseth
{"title":"Monitoring of CO2 Saturation Plume Movement from Time-Lapse Inverted-Seismic and Gravity Data Using an Ensemble-Based Method","authors":"T. Bhakta, M. Lien, T. Mannseth","doi":"10.3997/2214-4609.202112746","DOIUrl":"https://doi.org/10.3997/2214-4609.202112746","url":null,"abstract":"","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134353937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112795
V. Chandra, X. Liu, V. Vahrenkamp
{"title":"Optimizing digital image analysis of thin sections for reliable pore network characterization","authors":"V. Chandra, X. Liu, V. Vahrenkamp","doi":"10.3997/2214-4609.202112795","DOIUrl":"https://doi.org/10.3997/2214-4609.202112795","url":null,"abstract":"","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131212430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112763
N. Salaun, M. Reinier, I. Espin, G. Gigou
The Greater Castberg survey was acquired in 2019 using a source-over-spread acquisition design with an additional source at the front of the streamers, towed by the receiver boat, to permit recording of longer offsets. Starting from an initial anisotropic model, time-lag full waveform inversion (TLFWI) was used to compute a 13 Hz velocity model over the 5000 km2 area, which led to a much improved migration image (e.g., better imaged reservoir flat spots). When pushing the inversion frequency up to 90 Hz, the resultant TLFWI velocity model enabled more detailed delineation of reservoir boundaries compared to the migration image. Furthermore, the FWI Image as an alternative view of the FWI velocity model, provided access to new reflectivity information, overcoming some limitations of current migration tools. The use of the full wavefield, including refraction, reflection of primary, multiple and ghost, greatly enhanced image without needing the complex data pre-processing required by conventional imaging. In the context of thick gas clouds, this new imaging technique provided accurate sub-gas reflectivity, which effectively enhanced event continuity compared to reverse time migration (RTM) results.
{"title":"FWI velocity and imaging: A case study in the Johan Castberg area","authors":"N. Salaun, M. Reinier, I. Espin, G. Gigou","doi":"10.3997/2214-4609.202112763","DOIUrl":"https://doi.org/10.3997/2214-4609.202112763","url":null,"abstract":"The Greater Castberg survey was acquired in 2019 using a source-over-spread acquisition design with an additional source at the front of the streamers, towed by the receiver boat, to permit recording of longer offsets. Starting from an initial anisotropic model, time-lag full waveform inversion (TLFWI) was used to compute a 13 Hz velocity model over the 5000 km2 area, which led to a much improved migration image (e.g., better imaged reservoir flat spots). When pushing the inversion frequency up to 90 Hz, the resultant TLFWI velocity model enabled more detailed delineation of reservoir boundaries compared to the migration image. Furthermore, the FWI Image as an alternative view of the FWI velocity model, provided access to new reflectivity information, overcoming some limitations of current migration tools. The use of the full wavefield, including refraction, reflection of primary, multiple and ghost, greatly enhanced image without needing the complex data pre-processing required by conventional imaging. In the context of thick gas clouds, this new imaging technique provided accurate sub-gas reflectivity, which effectively enhanced event continuity compared to reverse time migration (RTM) results.","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126425750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.3997/2214-4609.202112770
S. Qu, D. Verschuur
{"title":"An effective scheme of pseudo-time Joint migration inversion with an AVO mitigating workflow","authors":"S. Qu, D. Verschuur","doi":"10.3997/2214-4609.202112770","DOIUrl":"https://doi.org/10.3997/2214-4609.202112770","url":null,"abstract":"","PeriodicalId":143998,"journal":{"name":"82nd EAGE Annual Conference & Exhibition","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132603332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：