地震勘探技术在南川地区页岩气勘探开发中的应用

doi:10.13809/j.cnki.cn32-1825/te.2022.03.002

摘要/Abstract

摘要：

针对南川探区地表地下“双复杂”的地质特点,通过地震资料采集、处理及解释技术攻关,探索形成了一套较为完整的页岩气地球物理勘探思路及技术流程, 在南川地区页岩气勘探开发中取得了成功的应用效果。采集方面,通过实时优化激发点位,提高灰岩出露区、溶洞及采空区的地震资料品质;处理方面,采用复杂山地高精度静校正技术、溶洞及采空区针对性处理技术及各向异性叠前偏移成像技术,提高成像效果;解释方面,在精细构造解释基础上,从页岩气的富集性、储层的可改造性以及储层的驱动性三个维度开展页岩储层“甜点”预测,并在页岩气开发过程中,通过动态靶点埋深预测技术和水平井地层倾角预测技术,指导水平井钻探。

关键词: “双复杂”, 地震勘探技术, 页岩气, 勘探开发, 采集处理解释, 南川地区

Abstract:

Considering of the “Multi-Complex” geological characteristics of the surface and underground in the Nanchuan District, a set of relatively complete ideas and technical processes for shale gas geophysics exploration have been explored through technical research on seismic data acquisition, processing and interpretation. And it has been successfully applied in shale gas exploration and development in Nanchuan District, including three aspects: ①In terms of acquisition, the quality of seismic data in limestone outcrops, karst caves and mined-out areas can be improved through real-time optimization of excitation points; ②In terms of processing, in order to improve the imaging effect, high-precision static correction technique in complex mountainous areas, the targeted processing technique in karst cave and goaf, and the Anisotropic Pre-Stack Migration Imaging technique are adopted; ③In terms of interpretation, on the basis of fine structure interpretation, the “sweet spot” prediction of shale reservoir is carried out from three dimensions: the enrichment of shale gas, the remodelling of reservoir and the driving of reservoir., and in the process of developing shale gas, horizontal well drilling is guided by prediction technology of dynamic target buried depth and formation dip prediction technique for horizontal wells.

Key words: “multi-complex”, seismic exploration technology, shale gas, exploration and development, seismic data processing and interpretation, Nanchuan area

中图分类号:

TE19

刘明,孟庆利,杜园等. 地震勘探技术在南川地区页岩气勘探开发中的应用[J]. 油气藏评价与开发, 2022, 12(3): 407-416.

Ming LIU,Qingli MENG,Yuan DU, et al. Application of seismic exploration technology in shale gas exploration and development in Nanchuan area[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(3): 407-416.

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参考文献 26

[1]	刘振武, 撒利明, 杨晓, 等. 页岩气勘探开发对地球物理技术的需求[J]. 石油地球物理勘探, 2011, 46(5):810-818.
	LIU Zhenwu, SA Liming, YANG Xiao, et al. Needs of geophysical technologies for shale gas exploration[J]. Oil Geophysical Prospecting, 2011, 46(5): 810-818.
[2]	李志荣, 邓小江, 杨晓, 等. 四川盆地南部页岩气地震勘探新进展[J]. 天然气工业, 2011, 31(4):40-43.
	LI Zhirong, DENG Xiaojiang, YANG Xiao, et al. New progress in seismic exploration of shale gas reservoirs in the southern Sichuan Basin[J]. Natural Gas Industry, 2011, 31(4): 40-43.
[3]	刘伟, 贺振华, 李可恩, 等. 地球物理技术在页岩气勘探开发中的应用和前景[J]. 煤田地质与勘探, 2013, 41(6):68-73.
	LIU Wei, HE Zhenhua, LI Keen, et al. Application and prospective of geophysics in shale gas development[J]. Coal Geology & Exploration, 2013, 41(6): 68-73.
[4]	夏一军, 胡向阳, 魏水健. 页岩气勘探开发中地球物理技术的应用[J]. 地球物理学进展, 2015, 30(4):1798-1803.
	XIA Yijun, HU Xiangyang, WEI Shuijian. Applications of geophysics in shale gas exploration and exploitation[J]. Progress in Geophysics, 2015, 30(4): 1798-1803.
[5]	陈祖庆. 海相页岩TOC地震定量预测技术及其应用—以四川盆地焦石坝地区为例[J]. 天然气工业, 2014, 34(6):24-29.
	CHEN ZuQing. Quantitative seismic prediction technique of marine shale TOC and its application: A case from the Longmaxi shale play in the Jiaoshiba area, Sichuan Basin. Natural Gas Industry[J]. Natural Gas Industry, 2014, 34(6): 24-29.
[6]	郭旭升, 郭彤楼, 魏志红, 等. 中国南方页岩气勘探评价的几点思考[J]. 中国工程科学, 2012, 14(6):101-105.
	GUO Xusheng, GUO Tonglou, WEI Zhihong, et al. Thoughts on shale gas exploration in southern China[J]. Engineering Sciences, 2012, 14(6): 101-105.
[7]	孟美辰, 程冰洁. 三维地震资料观测系统设计中的关键参数[J]. 科学技术与工程, 2014, 14(36):6-11.
	MENG Meichen, CHENG Bingjie. The key parameters in 3D seismic data observation system[J]. Science Technology and Engineering, 2014, 14(36): 6-11.
[8]	兰晓雯, 晏信飞, 王成虎. 地震正演模拟在高分辨率隐伏断层地震勘探中的应用[J]. 西北地震学报, 2008, 34(1):354-359.
	LAN Xiaowen, YAN Xinfei, WANG Chenghu. Application of seismic modeling in the shallow seismic prospecting methods to Urban active fault detection[J]. Northwestern Seismological Journal, 2008, 34(1): 354-359.
[9]	李苏光, 何鑫, 蒋福友. 复杂山地地震资料处理方法探析[J]. 中国西部科技, 2013(4):32-34.
	LI Suguang, HE Xing, JIANG Fuyou. Discussion on processing method of the complex mountainous seismic data. Science and Technology of West China[J]. Science and Technology of West China, 2013(4): 32-34.
[10]	薛国强, 潘冬明, 于景邨. 煤矿采空区地球物理探测应用综述[J]. 地球物理学进展, 2018, 33(5):2187-2192.
	XUE Guoqiang, PAN Dongming, YU Jingcun. Review the applications of geophysical methods for mapping coal-mine voids[J]. Progress in Geophysics, 2018, 33(5): 2187-2192.
[11]	王霞, 李丰, 张延庆, 等. 五维地震数据规则化及其在裂缝表征中的应用[J]. 石油地球物理勘探, 2019, 54(4):844-852.
	WANG Xia, LI Feng, ZHANG Yanqing, et al. Regularization of 5D seismic data and its application in fracture characterization[J]. Oil Geophysical Prospecting, 2019, 54(4): 844-852.
[12]	李慧, 程德安, 金婧. 网格层析成像速度建模方法与应用[J]. 石油地球物理勘探, 2013, 48(S1):12-16.
	Li Hui, CHENG De'an, JIN Jing. Velocity model building based on grid tomography[J]. Oil Geophysical Prospecting, 2013, 48(S1): 12-16.
[13]	郭旭升. 涪陵页岩气田焦石坝区块富集机理与勘探技术[M]. 北京: 科学出版社, 2014:267-271.
	GUO Xusheng. Enrichment mechanism and exploration technology of Jiaoshiba area in Fuling shale gas field[M]. Beijing: Science Press, 2014: 267-271.
[14]	郭旭升. 四川盆地涪陵平桥页岩气田五峰组—龙马溪组页岩气富集主控因素[J]. 天然气地球科学, 2019, 30(1):1-10.
	GUO Xusheng. Controlling factors on shale gas accumulations of Wufeng-Longmaxi formation in Pingqiao shale gas field in Fuling ares, Sichuan Basin[J]. Natural Gas Geoscience, 2019, 30(1): 1-10.
[15]	吴艳艳, 曹海虹, 丁安徐, 等. 页岩气储层孔隙特征差异及其对含气量影响[J]. 石油实验地质, 2015, 37(2):231-236.
	WU Yanyan, CAO Haihong, DING Anxu, et al. Pore characteristics of a shale gas reservoir and its effect on gas content[J]. Petroleum Geology & Experiment, 2015, 37(2): 231-236.
[16]	张勇, 何贵松, 李彦婧, 等. 基于叠前反演的神经网络孔隙度预测技术——以南川地区为例[J]. 科学技术与工程, 2019, 19(25):83-89.
	ZHANG Yong, HE Guisong, LI Yanjing, et al. Neural network porosity prediction technology based on prestack inversion: Take Nanchuan Area as an example[J]. Science Technology and Engineering, 2019, 19(25): 83-89.
[17]	殷文. 叠前地震反演关键技术及影响因素分析与研究[J]. 地球物理学进展, 2013, 28(6):2958-2968.
	YIN Wen. The analysis on the key techniques and influence factors of prestack seismic inversion[J]. Progress in Geophysics, 2013, 28(6): 2958-2968.
[18]	汤婕, 吴国忱, 邓小凡. 基于贝叶斯理论的裂缝性介质叠前地震同步反演方法[J]. 油气地质与采收率, 2018, 25(6):45-50.
	TANG Jie, WU Guochen, DENG Xiaofan. Pre-stack seismic synchronous inversion method for fractured media based on Bayesian theory[J]. Petroleum Geology and Recovery Efficiency, 2018, 25(6): 45-50.
[19]	张建芝, 邻晓华. 基于随机神经网络的储集层孔隙度预测技术在Y3区块的应用[J]. 新疆石油地质, 2014, 25(5):582-586.
	ZHANG Jianzhi, LIN Xiaohua. Application of reservoir property prediction based on probabilistic neural network(PNN) in Y3 block[J]. Xinjiang Petroleum Geology, 2014, 25(5): 582-586.
[20]	杨超, 熊永强, 张金川. 中国不同沉积类型页岩生烃有机孔发育差异[J]. 地球化学, 2019, 48(6):544-554.
	YANG Chao, XIONG Yongqiang, ZHANG Jinchuan. Developmental differences of secondary organic pores among marine, lacustrine, and transitional shale in China[J]. Geochimica, 2019, 48(6): 544-554.
[21]	张海杰, 蒋裕强, 周克明, 等. 页岩气储层孔隙连通性及其对页岩气开发的启示——以四川盆地南部下志留统龙马溪组为例[J]. 天然气工业, 2019, 39(12):22-31.
	ZHANG Haijie, JIANG Yuqiang, ZHOU Keming, et al. Connectivity of pores in shale reservoirs and its implications for the development of shale gas: A case study of the Lower Silurian Longmaxi Formation in the southern Sichuan Basin[J]. Natural Gas Industry, 2019, 39(12): 22-31.
[22]	何希鹏. 四川盆地东部页岩气“甜点”评价体系与富集高产影响因素[J]. 天然气工业, 2021, 41(1):59-71.
	HE Xipeng. Sweet spot evaluation system and enrichment and high yield influential factors of shale gas in Nanchuan area of eastern Sichuan Basin[J]. Natural Gas Industry, 2021, 41(1): 59-71.
[23]	代鹏, 丁文龙, 何建华, 等. 地球物理技术在页岩储层裂缝研究中的应用[J]. 地球物理学进展, 2015, 30(3):1315-1328.
	DAI Peng, DING Wenlong, HE Jianhua, et al. Application of geophysical techniques in fracture of shale reservoir[J]. Progress in Geophysics, 2015, 30(3): 1315-1328.
[24]	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 Huafeng, HU Qi, LIN Zhengliang. Pore pressure prediction for shale gas reservoir sand its application in the Sichuan basin, China[J]. Geophysical Prospecting for Petroleum, 2018, 57(3): 362-368.
[25]	张广智, 陈娇娇, 陈怀震, 等. 基于页岩岩石物理等效模型的地应力预测方法研究[J]. 地球物理学报, 2015, 58(6):2112-2122.
	ZHANG Guangzhi, CHEN Jiaojiao, CHEN Huaizhen, et al. Prediction for in-situ formation stress of shale based on rock physics equivalent model[J]. Chinese Journal of Geophysics, 2015, 58(6): 2112-2122.
[26]	李金磊. 涪陵焦石坝页岩气层压力预测技术研究[J]. 石油物探, 2017, 56(4):567-574.
	LI Jinlei. Pressure prediction of Jiaoshiba shale gas reservoir in the Fuling shale gas field[J]. Geophysical Prospecting for Petroleum, 2017, 56(4): 567-574.

岩性		层位	理论设计（%）	优化设计（%）	优化提高（%）
砂岩区	侏罗系砂岩	J₂s、J₂x、J_1-2z	29.16	32.53	3.37
	三叠系砂岩	T₃x	6.78	7.78	1.00
	志留系砂岩	S₁h、S₁x	9.72	11.58	1.85
灰岩区	三叠系灰岩	T₂l、T₁j、T₁f	35.35	31.64	-3.71
灰岩区	二叠系灰岩	P₂、P₁	18.99	16.48	-2.51