Citation: | LI Ang, ZHANG Li-yan, YANG Jian-guo, HUANG Yi-ming. SEISMIC METHOD FOR SHALE OIL SWEET SPOT PREDICTION IN QINGSHANKOU FORMATION OF SANZHAO SAG, SONGLIAO BASIN[J]. Geology and Resources, 2021, 30(3): 366-376, 305. doi: 10.13686/j.cnki.dzyzy.2021.03.019 |
The oil and gas resources are abundant in the shale of the first member of Qingshankou Formation in Sanzhao Sag, Songliao Basin. To identify the distribution of shale oil sweet spots in the area and guide the deployment of parameter well, the paper studies the sweet spot prediction method based on the logging evaluation of key parameters of single well sweet spot, 3D seismic data and well-seismic combination. First, the cross plot analysis of logging data and core experimental analysis data is used to establish logging evaluation model of lithology, physical properties (porosity and permeability), oil-bearing property(saturation), organic geochemical parameters(TOC and S1), formation pore pressure and compressibility; Then the broadband constrained inversion technology is applied to predict lithology, the prestack elastic parameter inversion to predict physical properties, oil-bearing property and compressibility, and combination of constrained Dix formula inversion and model constrained wave impedance inversion technology to predict formation pressure; Finally, a set of seismic sweet spot identification technology process suitable for the shale oil of Qingshankou Formation in Songliao Basin is established to realize the double sweet spots prediction of geological and engineering sweet spots. The practice shows that the 3D seismic data can effectively predict shale sweet spots, and the actual drilling results are basically consistent with pre-drilling prediction, which proves the effectiveness of technical process.
[1] | 杜金虎, 胡素云, 庞正炼, 等.中国陆相页岩油类型、潜力及前景[J].中国石油勘探, 2019, 24(5):560-568. doi: 10.3969/j.issn.1672-7703.2019.05.003 Du J H, Hu S Y, Pang Z L, et al.The types, potentials and prospects of continental shale oil in China[J]. China Petroleum Exploration, 2019, 24(5):560-568. doi: 10.3969/j.issn.1672-7703.2019.05.003 |
[2] | 张抗.从页岩气革命看中国资源勘探的战略方向[J].地质与资源, 2013, 22(4):259-263. doi: 10.3969/j.issn.1671-1947.2013.04.001 Zhang K. Shale gas revolution:Impact to China's resources exploration strategy[J]. Geology and Resources, 2013, 22(4):259-263. doi: 10.3969/j.issn.1671-1947.2013.04.001 |
[3] | 张欣, 刘吉余, 侯鹏飞.中国页岩油的形成和分布理论综述[J].地质与资源, 2019, 28(2):165-170. doi: 10.3969/j.issn.1671-1947.2019.02.008 Zhang X, Liu J Y, Hou P F. A review on the formation and distribution theories of the shale oil in China[J].Geology and Resources, 2019, 28(2):165-170. doi: 10.3969/j.issn.1671-1947.2019.02.008 |
[4] | 张林晔, 李钜源, 李政, 等.北美页岩油气研究进展及对中国陆相页岩油气勘探的思考[J].地球科学进展, 2014, 29(6):700-711. Zhang L Y, Li J Y, Li Z, et al. Advances in shale oil/gas research in North America and considerations on exploration for continental shale oil/gas in China[J]. Advances in Earth Science, 2014, 29(6):700-711. |
[5] | 吴河勇, 林铁锋, 白云风, 等.松辽盆地北部泥(页)岩油勘探潜力分析[J].大庆石油地质与开发, 2019, 38(5):78-86. Wu H Y, Lin T F, Bai Y F, et al. Analyses of the mudstone (shale) oil exploration potential in North Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2019, 38(5):78-86. |
[6] | 王玉华, 梁江平, 张金友, 等.松辽盆地古龙页岩油资源潜力及勘探方向[J].大庆石油地质与开发, 2020, 39(3):20-34. Wang Y H, Liang J P, Zhang J Y, et al. Resource potential and exploration direction of Gulong shale oil in Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2020, 39(3):20-34. |
[7] | 柳波, 石佳欣, 付晓飞, 等.陆相泥页岩层系岩相特征与页岩油富集条件——以松辽盆地古龙凹陷白垩系青山口组一段富有机质泥页岩为例[J].石油勘探与开发, 2018, 45(5):828-838. Liu B, Shi J X, Fu X F, et al. Petrological characteristics and shale oil enrichment of lacustrine fine-grained sedimentary system:A case study of organic-rich shale in first member of Cretaceous Qingshankou Formation in Gulong Sag, Songliao Basin, NE China[J]. Petroleum Exploration and Development, 2018, 45(5):828-838. |
[8] | 贾曙光, 王军, 王玲玲, 等.吉木萨尔凹陷芦草沟组页岩油甜点地震预测方法[J].新疆石油地质, 2020, 41(5):535-541. Jia S G, Wang J, Wang L L, et al. Seismic prediction methods of shale oil sweet spots in Lucaogou Formation of Jimsar sag[J]. Xinjiang Petroleum Geology, 2020, 41(5):535-541. |
[9] | Sena A, Castillo G, Chesser K, et al. Seismic reservoir characterization in resource shale plays:Stress analysis and sweet spot discrimination[J]. The Leading Edge, 2011, 30(7):758-764. doi: 10.1190/1.3609090 |
[10] | Davie M, Zhu Y P, Rehkopf O, et al. Characterization of shale gas reservoirs using seismic and well data at Horn River, Canada[C]//Proceedings of the 82nd Annual International Meeting. Las Vegas, Nevada: SEG, 2012. |
[11] | Tavella J, Moirano J, Zambrano J C, et al. Integrated characterization of unconventional upper Jurassic reservoir in northern Mexico[C]. Proceedings of the 75th EAGE Conference & Exhibition Incorporating SPE EUROPEC 2013. London, UK, 2013. |
[12] | 刘伟, 梁兴, 姚秋昌, 等.四川盆地昭通区块龙马溪组页岩气"甜点"预测方法及应用[J].石油地球物理勘探, 2018, 53(S2):211-217, 223, 15. Liu W, Liang X, Yao Q C, et al. Shale-gas sweet spot identification in Longmaxi, Sichuan Basin[J]. Oil Geophysical Prospecting, 2018, 53(S2):211-217, 223, 15. |
[13] | 陈树民, 韩德华, 赵海波, 等.松辽盆地古龙页岩油地震岩石物理特征及甜点预测技术[J].大庆石油地质与开发, 2020, 39(3):107-116. Chen S M, Han D H, Zhao H B, etal. Seismic petrophysical characteristics and predicting technique of the sweet spots in Gulong shale oil reservoirs of Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2020, 39(3):107-116. |
[14] | 周东红, 熊晓军.一种高精度地层压力预测方法[J].石油地球物理勘探, 2014, 49(2):344-348. Zhou D H, Xiong X J. A method for high-precision prediction of formation pressure[J]. Oil Geophysical Prospecting, 2014, 49(2):344-348. |
[15] | 韩向义, 阎建国, 朱斗星, 等.叠前弹性参数反演在龙马溪组页岩脆性预测中的应用[J].物探化探计算技术, 2018, 40(3):337-344. doi: 10.3969/j.issn.1001-1749.2018.03.09 Han X Y, Yan J G, Zhu D X, et al. Application of pre-stack elastic parameter inversion in the prediction of Longmaxi formation shale's brittleness[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2018, 40(3):337-344. doi: 10.3969/j.issn.1001-1749.2018.03.09 |
[16] | 孙雨, 于利民, 闫百泉, 等.松辽盆地三肇凹陷向斜区白垩系姚家组葡萄花油层油水分布特征及其主控因素[J].石油与天然气地质, 2018, 39(6):1120-1131. Sun Y, Yu L M, Yan B Q, etal. Oil-water distribution and its major controlling factors of Putaohua reservoir of the Cretaceous Yaojia Formation in syncline area of Sanzhao Sag, Songliao Basin[J]. Oil & Gas Geology, 2018, 39(6):1120-1131. |
[17] | 杨建国, 李士超, 姚玉来, 等.松辽盆地北部陆相页岩油调查取得重大突破[J].地质与资源, 2020, 29(3):300. doi: 10.3969/j.issn.1671-1947.2020.03.015 Yang J G, Li S C, Yao Y L, et al. Significant breakthrough in the continental shale oil survey in northern Songliao Basin[J]. Geology and Resources, 2020, 29(3):300. doi: 10.3969/j.issn.1671-1947.2020.03.015 |
[18] | Schmoker J W. Determination of organic-matter content of Appalachian Devonian shales from gamma-ray logs[J]. AAPG Bulletin, 1981, 65(7):1285-1298. |
[19] | Passey Q R, Creaney S, Kulla J B, et al. 1990 A practical model for organic richness from porosity and resistivity logs[J]. AAPG Bulletin, 1990, 74(12):1777-1794. |
[20] | Khoshnoodkia M, Mohseni H, Rahmani O, et al. TOC determination of Gadvan Formation in South Pars gas field, using artificial intelligent systems and geochemical data[J]. Journal of Petroleum Science and Engineering, 2011, 78(1):119-130. |
[21] | 董宁, 许杰, 孙赞东, 等.泥页岩脆性地球物理预测技术[J].石油地球物理勘探, 2013, 48(S1):69-74. Dong N, Xu J, Sun Z D, et al. Shale brittleness prediction by geophysical methods[J]. Oil Geophysical Prospecting, 2013, 48(S1):69-74. |
[22] | Fillippone W R. Estimation of formation parameters and the prediction of overpressures from seismic data[R]. SEG 0502, Dallas, Texas: SEG, 1982. |
[23] | 马海. Fillippone地层压力预测方法的改进及应用[J].石油钻探技术, 2012, 40(6):56-61. Ma H. Pore pressure prediction with seismic interval velocity by the modified Fillippone method[J]. Petroleum Drilling Techniques, 2012, 40(6):56-61. |
[24] | 张磊夫, 董大忠, 孙莎莎, 等.三维地质建模在页岩气甜点定量表征中的应用——以扬子地区昭通页岩气示范区为例[J].天然气地球科学, 2019, 30(9):1332-1340. Zhang L F, Dong D ZH, Sun S S, et al. Application of 3D geological modeling in quantitative characterization of shale gas sweet spots:Case study of Zhaotong national demonstration area of Yangtze region[J]. Natural Gas Geoscience, 2019, 30(9):1332-1340. |
[25] | 胡华锋, 胡起, 林正良.页岩气储层地层压力预测方法及其在四川盆地的应用[J].石油物探, 2018, 57(3):362-368. Hu H F, Hu Q, Lin Z L. Pore pressure prediction for shale gas reservoirs and its application in the Sichuan Basin, China[J]. Geophysical Prospecting For Petroleum, 2018, 57(3):362-368. |
Tectonic division of Sanzhao Sag and location of study area (Modified from Reference [16])
Cross plot of effective porosity and permeability calculated from nuclear magnetic logging data of SYY1 well
Diagram of calculated TOC vs. measured TOC in SYY 1 well
Diagram of rock pyrolysis vs. TOC
Logging data processing curves of X11 well
Prediction map of lithology in the study area
Prediction map of porosity in the study area
Prediction map of permeability in the study area
Prediction map of saturation in the study area
Prediction map of TOC in the study area
Prediction map of S1 in the study area
Prediction map of brittleness index in the study area
Prediction map of formation pore pressure in the study area
Comprehensive deployment map of SYY3 well