APPLIED GEOPHYSICS
 
        Home  |  Copyright  |  About Journal  |  Editorial Board  |  Indexed-in  |  Subscriptions  |  Download  |  Contacts Us  |  中文
APPLIED GEOPHYSICS  2018, Vol. 15 Issue (2): 151-164    DOI: 10.1007/s11770-018-0678-5
article Current Issue | Next Issue | Archive | Adv Search  |  Next Articles  
Lower Es3 in Zhanhua Sag, Jiyang Depression: a case study for lithofacies classification in lacustrine mud shale
Yan Jian-Ping1,2, He Xu2, Hu Qin-Hong3, Liang Qiang4, Tang Hong-Ming1,2, Feng Chun-Zhen5, and Geng Bin6
1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Southwest Petroleum University), Chengdu 610500, China.
2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China.
3. Department of Earth and Environmental Science, University of Texas at Arlington, Texas 76019, USA.
4. No. 2 Gas Production Plant, Changqing Oilfield Company, PetroChina,Yulin 719000, China.
5. Changqing Division, China Petroleum Logging CO. LTD., Xi’an 718500, China.
6. Institute of Exploration and Development, ShengLi Oil Field, SINOPEC, Dongying 257015, China.
 Download: PDF (1683 KB)   HTML ( KB)   Export: BibTeX | EndNote (RIS)      Supporting Info
Abstract Oil and gas exploration in lacustrine mud shale has focused on laminated calcareous lithofacies rich in type I or type II1 organic matter, taking into account the mineralogy and bedding structure, and type and abundance of organic matter. Using the lower third member of the Shahejie Formation, Zhanhua Sag, Jiyang Depression as the target lithology, we applied core description, thin section observations, electron microscopy imaging, nuclear magnetic resonance, and fullbore formation microimager (FMI) to study the mud shale lithofacies and features. First, the lithofacies were classified by considering the bedding structure, lithology, and organic matter and then a lithofacies classification scheme of lacustrine mud shale was proposed. Second, we used optimal filtering of logging data to distinguish the lithologies. Because the fractals of logging data are good indicators of the bedding structure, gamma-ray radiation was used to optimize the structural identification. Total organic carbon content (TOC) and pyrolyzed hydrocarbons (S2) were calculated from the logging data, and the hydrogen index (HI) was obtained to identify the organic matter type of the different strata (HI vs Tmax). Finally, a method for shale lithofacies identification based on logging data is proposed for exploring mud shale reservoirs and sweet spots from continuous wellbore profiles.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Key wordsmud shale   lithofacies   filtering   fractals   logging     
Received: 2016-08-18;
Fund:

This work was supported by the National Natural Science Foundation of China (Nos. 41202110 and 51674211) and Open Fund of State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Southwest Petroleum University) (No. PLN201612), the Applied Basic Research Projects in Sichuan Province (No. 2015JY0200) and the Open Fund Project from Sichuan Key Laboratory of Natural Gas Geology (No. 2015trqdz07).

Cite this article:   
. Lower Es3 in Zhanhua Sag, Jiyang Depression: a case study for lithofacies classification in lacustrine mud shale[J]. APPLIED GEOPHYSICS, 2018, 15(2): 151-164.
 
[1] Banik, N. C., 1984, Velocity anisotropy of shales and depth estimation in the North-Sea Basin: Geophysics, 49, 1411-1419.
[2] Cai, J. G., Bao, Y. J., Yang, S. Y., et al., 2007, Research on preservation and enrichment mechanisms of organic matter in muddy sediment and mudstone: Science in China (Series D): Earth Sciences, 37(2), 234−243.
[3] Chen, Q., 2012, Study on sedimentary characteristics of the lower part of the third member of Shahejie formation in Luojia area, Zhanhua Sag: Master's Thesis, China University of Geosciences, Beijing.
[4] Chen, S. Y., Zhang, S., Wang, Y. S., et al., 2016, Lithofacies types and reservoirs of Paleogene fine-grained sedimentary rocks in Dongying Sag, Bohai Bay Basin: Petroleum Exploration and Development, 43(2), 198−208.
[5] Curtis, J. B., 2002, Fractured Shale-Gas System: AAPG Bulletin, 86(11), 1921-1938.
[6] Dario, G., Kristen, S., and Erin, C. S., 2015, Petroelastic and geomechanical classification of lithologic facies in the Marcellus Shale: Interpretation: A Journal of Bible and Theology, 3(1), 51-63.
[7] Diao, H. Y., 2013, Rock mechanical properities and brittleness evaluation of shale reservoir: Acta Petrologica Sinica, 29(9), 3300−3306.
[8] Dong, C. M., Ma, C. F., Lin, C. Y., et al., 2015, A method of classification of shale set: Journal of China University of petroleum, 2015, 39(3), 1−7.
[9] Er, C., Zhao, J. Z., Bai, Y. B., et al., 2013, Reservoir characteristics of the organic-rich shales of the Triassic Yanchang formation in Ordos basin: Oil & gas geology, 34(5), 708−716.
[10] Falconer, K. J., 1990, FractalGeometry: Mathematical Foundations and Applications, Chichester, John Wiley and Sons Ltd.
[11] Guo, X. B., Huang, Z. L., Chen, X. A., et al., 2014, The oil-bearing property characteristics and evaluation of Lucaogou formation shale reservoirs in malang sag: Acta Sedimentologica Sinica, 32(1), 166-173.
[12] Hakimi, M. H., and Ahmed, A. F., 2016, Petroleum generation modeling of the organic-rich shales of Late Jurassic-Early Cretaceous succession from Mintaq-01 well in the Wadi Hajar sub-basin, Yemen: Canadian Journal of Earth Sciences, 53(10), 1749−1774.
[13] Hao, Y. Q., Xie, Z. H.,, Zhou, Z. L., et al., 2012, Discussion on multi-factors identification of mudstone and shale: Petroleum Geology and Recovery Efficiency, 19(6), 16-24.
[14] He, J. H., Ding, W. L., Jiang, Z. X., et al., 2016, Logging identification and characteristic analysis of the lacustrine organic-rich shale lithofacies: A case study from the Es3L shale in the Jiyang Depression, Bohai Bay Basin, Eastern China: Journal of Petroleum Science and Engineering, 145, 238-255.
[15] Hickey, J. J., and Henk, B., 2007, Lithofacies summary of the Mississippian Barnett Shale, Mitchell 2 T. P. Sims well, Wise County, Texas: AAPG Bulletin, 91(4), 437-443.
[16] Ji, L. M., Qiu, J. L., Zhang, T. W., et al., 2012, Experiments on methane adsorption of common clay minerals in shale: Earth Science-Journal of China University of Geosciences, 37(5), 1044-1050.
[17] Jia, S., 2012, Study on formation and distribution of the shale reservoir in the lower third member of Eogene Shahejie formation in Luojia area of Zhanhua sag: PhD Thesis, China University of Geosciences, Beijing.
[18] Jiang, M., 2011, Study on organic geochemistry features of deep source rocks in Dongying, Zhanhua, and Weibei Sag: PhD Thesis, Chengdu University of Technology, Chengdu.
[19] Jiang, Z. X., Liang, C., Wu, J., et al., 2013, Several issues in sedimentological studies on hydrocarbon-bearing fine-grained sedimentary rocks: Acta Petrolei Sinica, 34(6), 1031-1039.
[20] Jiang, Z. X., Zhang, W. Z., Liang, C., et al., 2014, Characteristics and evaluation elements of shale oil reservoir: Acta Petrolei Sinica, 35(1), 184−196.
[21] Liu, S. G., Wenxin, M. A., Jansa, L., et al., 2013, Characteristics of the shale gas reservoir rocks in the Lower Silurian Longmaxi Formation, East Sichuan basin, China: Energy Exploration & Exploitation, 31(2), 187−220.
[22] Loucks, R. G., and Ruppel, S. C., 2007, Mississippian Barnett Shale: Lithofacies and depositional setting of a deep-water shale-gas succession in the Fort Worth Basin, Texas: AAPG Bulletin, 91(4), 579−601.
[23] Ma, Y. Q., Fan, M. J., Lu, Y. C., et al., 2016, Geochemistry and sedimentology of the Lower Silurian Longmaxi mudstone in southwestern China: Implications for depositional controls on organic matter accumulation: Marine & Petroleum Geology, 75, 291-309.
[24] Milliken, K., 2014, A compositional classification for grain assemblages in fine-grained sediments and sedimentary rocks: Journal of Sedimentary Research, 84(12), 1185-1199.
[25] Mohammed, A. S., Ghaithan, A. A. M., Feng, L., 2017, Development of shale reservoirs: Knowledge gained from developments in North America: Journal of Petroleum Science and Engineering, 157, 164-186.
[26] Oschmann, W., 1988, Kimmeridge clay sedimentation a new cyclic model: Palaeogeography Palaeoclimatology Palaeoecology, 65B, 217-251.
[27] Pang, J., and North, C. P., 1996, Fractals and their applicability in geological wireline log analysis: Journal of Petroleum Geology, 19(3), 339-350.
[28] Potter, P. E., Maynard, J. B., and Depetris, P. J., 2005, Mud and Mudstones: Springer Berlin Heidelberg.
[29] Putrohari, R. D., 2000, Fractal geometry in the evaluation a stratigraphic records with an example on a well log data: AAPG Bulletin, 84(9), 1478.
[30] Quaid, K. J., Eric, M. R. and Bob, H., 2017, Lithological and facies analysis of the Roseneath and Murteree shales, Cooper Basin, Australia: Journal of Natural Gas Science and Engineering, 37, 138-168.
[31] Roen, J. B., 1984, Geology of the Devonian black shales of the Appalachian Basin: Organic Geochemistry, 5, 241-254.
[32] Rybacki, E., Meier, T., and Dresen, G., 2016, What controls the mechanical properties of shale rocks? - Part II: Brittleness: Journal of Petroleum Science and Engineering, 144, 39-58.
[33] Sakhaee-Pour, A., and Steven, L. B., 2015, Pore structure of shale: Fuel, 143, 467-475.
[34] Sukru, M. and Caglar, S., 2016, Analysis of carbon dioxide sequestration in shale gas reservoirs by using experimental adsorption data and adsorption models: Journal of Natural Gas Science and Engineering, 36, Part A, 1087-1105.
[35] Tarik, S., Lin, Q. Y., Branko, B., et al., 2017, Microstructural imaging and characterization of oil shale before and after pyrolysis: Fuel, 197, 562-574.
[36] Tian, D., Nicholas, B., Korhan, A., et al., 2017, The impact of rock composition on geomechanical properties of a shale formation: Middle and Upper Devonian Horn River Group shale, Northeast British Columbia, Canada: AAPG Bulletin, 101(2), 177-204.
[37] Wang, G. C., and Carr, T. R., 2012, Marcellus Shale Lithofacies Prediction by Multiclass Neural Network Classification in the Appalachian Basin: Mathematical Geosciences, 44(8), 975-1004.
[38] Wang, G. C., Cheng, G., and Carr, T. R., 2013, The application of improved Neuro Evolution of Augmenting Topologies neural network in Marcellus Shale lithofacies prediction: Computers & Geosciences, 54(4), 50-65.
[39] Wang, G. C., Ju, Y., Carr, T. R., et al., 2015, The hierarchical decomposition method and its application in recognizing Marcellus Shale lithofacies through combining with neural network: Journal of Petroleum Science & Engineering, 127, 469-481.
[40] Wang, M., Zhu, J. J., Yu, G. H., et al., 2013, The shale lithofacies characteristics and logging analysis techniques in Luojia area: Well Logging Technology, 37(4), 426-431.
[41] Wang, X. Y., 2013, Favorable lithofacies classification and evaluation of shale oil and gas in Dongying depression: PhD Thesis, China university of petroleum, Qing Dao.
[42] Wen, H. M., 2003, Study of fractal log interpretation theory and method: PhD Thesis, Chengdu University of Technology, Cheng Du.
[43] Wignall, P. B., 1991, Dysaerobic trace fossils and ichnofabrics in the Upper Jurassic Kimmeridge Clay of southern England: Palaios, 6(3), 264-270.
[44] Yan, J. P., 2007, The study on comprehensive evaluation method of heavy-oil reservoir log data in fine reservoir description: Master's thesis, China University of Petroleum (East China).
[45] Yan, J. P., Cai, J. G., Zhao, M. H., et al., 2008, Study on integration of multiple logging curves and its application in geological stratification: Journal of Xi’an Shiyou University, 23(6), 6-10.
[46] Yan, J. P., Liang, Q., Geng, B., et al., 2017, Log calculation method of geochemical parameters of lacustrine shale and its application: a case of lower Es 3 in Bonan subsag, Zhanhua Sag: Lithologic Reservoirs, 29(4), 109-116.
[47] Zhang, J. C., Lin L. M., Li Y. X., et al., 2012, Classification and evaluation of shale oil: Earth Science Frontiers, 19(5), 322-331.
[48] Zhang, J. Q., Cai, J. G., Wang, X. J., et al., 2013, Palynofacies of lacustrine source rocks in Dongying depression and its’ significance: Journal of Central South University (Science and Technology), 8, 3446-3452.
[49] Zhang, J. Y., 2013, Shale lithofacies logging identification and evaluation: Journal of oil and gas technology, 35(4), 96-103.
[50] Zhang, L. H., Guo, J. J., Tang, H. M., et al., 2015a, Pore structure characteristics of Longmaxi shale in the southern Sichuan Basin: Natural Gas Industry, 35(3), 22-29.
[51] Zhang, P., 2014, Lithofacies prediction of continental mud shale based on geologic parameters: Special oil and gas reservoirs, 21(6), 320-331.
[52] Zhang, S., Chen, S. Y., Yan, J. H., et al., 2015b, Characteristics of shale lithofacies and reservoir space in the 3rd and 4th members of Shahejie formation, the west of Dongying sag: Natural gas geoscience, 26(2), 320-331.
[53] Zhu, X. M., Sedimentary Petrology, 2008: Petroleum Industry Press, Beijing.
[54] Zou, C. N., Dong, D. Z., Yang, H., et al., 2011, Formation conditions and exploration practice of shale gas in China: Natural Gas Industry, 31(12), 26-39.
[1] Yan Jian-Ping, He Xu, Geng Bin, Hu Qin-Hong, Feng Chun-Zhen, Kou Xiao-Pan, Li Xing-Wen. Nuclear magnetic resonance T2 spectrum: multifractal characteristics and pore structure evaluation[J]. APPLIED GEOPHYSICS, 2017, 14(2): 205-215.
[2] Huang Ya-Ping, Geng Jian-Hua, Guo Tong-Lou. New seismic attribute: Fractal scaling exponent based on gray detrended fluctuation analysis[J]. APPLIED GEOPHYSICS, 2015, 12(3): 343-352.
[3] CHAI Hua, LI Ning, XIAO Cheng-Wen, LIU Xing-Li, LI Duo-Li, WANG Cai-Zhi, WU Da-Cheng. Automatic discrimination of sedimentary facies and lithologies in reef-bank reservoirs using borehole image logs[J]. APPLIED GEOPHYSICS, 2009, 6(1): 17-29.
Copyright © 2011 APPLIED GEOPHYSICS
Support by Beijing Magtech Co.ltd support@magtech.com.cn