首页|深层—超深层海相碳酸盐岩地震勘探技术发展与攻关方向

深层—超深层海相碳酸盐岩地震勘探技术发展与攻关方向

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随着塔里木盆地顺北油气区、轮南地区轮探1井在8200m深度以下获得工业油气流,碳酸盐岩勘探迅速向深层—超深层领域迈进,向地震勘探技术提出了严峻挑战.主要分析了超深层复杂波场地震成像理论研究进展及面临的问题.在超深层储层预测关键技术方面,分析了由地震数据结构表征识别小断裂、基于数字岩心的孔隙结构定量化预测方法等现状;从勘探地质需求的角度,提出深层—超深层碳酸盐岩储层与流体预测技术发展趋势和重点攻关方向,以期为海相碳酸盐岩地震勘探的理论及技术研究提供借鉴.获得以下认识:①针对超深层低信噪比地震数据,Q叠前深度偏移和TTI介质RTM技术在碳酸盐岩储层成像中取得了一定效果,基于波动理论的层间多次波压制、各向异性Q-RTM、最小二乘Q-RTM及各向异性全方位角度域成像技术是重点攻关方向.②深层—超深层强非均质性碳酸盐岩储层地震预测技术存在欠缺理论依据、预测精度较低等问题,亟待加强理论方法探索和技术攻关.③地震岩石物理实验与储层地质的深度融合以及基于双相介质波动特征(频率、频散与衰减等)的储层敏感属性精细化地震预测技术、人工智能碳酸盐岩储层定量预测及流体检测技术等均是重要发展方向,"可靠的深层地震资料、多学科联合的储层高精度表征和深度学习人工智能"发展趋势十分明显.
Development and tackling directions of seismic exploration technology for deep and ultra-deep marine carbonate rocks
As Shunbei oil and gas area and Luntan 1 well in the Tarim Basin obtain industrial oil and gas flows at a depth of more than 8200 m,carbonate rock exploration is rapidly moving towards the deep and ultra-deep fields,posing a severe challenge to seismic exploration technology.This article mainly analyzes the research progress and problems faced in the theory of ultra-deep complex wave field seismic imaging.In terms of key technologies for predicting ultra-deep reservoirs,the current status of small fault identification through seismic data structure characterization and quantitative prediction methods for pore structure based on digital cores has been analyzed.From the perspective of geological exploration requirements,this paper proposes the develop-ment trend and key research directions of deep and ultra-deep carbonate reservoir and fluid prediction tech-nology,so as to provide a reference for the theoretical and technical research of marine carbonate rock seismic exploration,and the following understandings are obtained:① For ultra-deep seismic data with low signal-to-noise ratios,Q-stack depth migration and TTI medium RTM technology have achieved certain results in car-bonate reservoir imaging.The key research directions include interlayer multi-wave suppression based on wave theory,anisotropic Q-RTM,least squares Q-RTM,and anisotropic omnidirectional angle domain imaging technology.② The seismic data-based prediction technology of deep and ultra-deep heterogeneous carbonate reservoirs has the problems of weak theoretical methods and low prediction accuracy,so it is urgent to strengthen the exploration of theoretical methods and technical breakthroughs.③ The deep integration of seis-mic petrophysical experiment and reservoir geology,the refined seismic data-based prediction technology of sen-sitive reservoir properties based on the wave characteristics of two-phase media(frequency,dispersion,and at-tenuation),artificially intelligent and quantitative prediction of carbonate reservoirs,and fluid detection tech-nology are important development directions.The development trend of"reliable deep seismic data,multi-dis-ciplinary and high-precision characterization of reservoirs,and deep learning artificial intelligence"is obvious.

ultra-deep formationmarine carbonate rocksseismic imagingfault identificationrock physicsarti-ficial intelligence

李闯、韩令贺、杨哲、闫磊、丰超、王振卿

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中国石油勘探开发研究院西北分院,甘肃兰州 730020

中国石油大学(北京)油气资源与工程全国重点实验室,北京 102249

中国石油勘探开发研究院,北京 100083

超深层 海相碳酸盐岩 地震成像 断裂识别 岩石物理 人工智能

中国石油科技管理部科技重大专项&&

2023ZZ02052021DJ0506

2024

石油地球物理勘探
东方地球物理勘探有限责任公司

石油地球物理勘探

CSTPCD北大核心
影响因子:1.766
ISSN:1000-7210
年,卷(期):2024.59(2)
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