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岩心智能识别技术内涵与展望

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岩心分析可为油气成烃成储成藏史研究、提高采收率和寻找优质储量提供支撑.随着油气勘探开发转向深层和非常规领域,储层非均质性强,原有基于岩心的单点式分析已不能满足需要,须将多种尺度的岩心图像和岩心实验数据进行综合分析.岩心分析从传统的人工描述,发展到现在的数字岩心并向岩心智能识别的方向发展.通过概括岩心图像分析的国内外研究现状,提出了岩心智能识别技术的定义和内涵;以利用微米—纳米CT图像重构全直径岩心孔隙结构的高分辨率CT图像为例,对岩心智能识别技术进行了阐述;对岩心智能识别技术在储层评价、压裂方案设计、微观渗流机理研究等领域的应用进行了展望.岩心智能识别技术的提出反映了人工智能技术在油气领域已经开始同步升级发展,即从单点业务智能化、提速提效的初级阶段,向着多尺度多模态数据融合、垂直领域大模型技术应用、提质发展的更高阶段转变.
Connotation and prospect of intelligent recognition technology for cores
Core analysis can provide support for studying the history of hydrocarbon generation,reservoir formation,and petroleum accumulation,improving oil and gas recovery rates,and searching for large-scale high-quality reserves.With the hydrocarbon explo-ration and development shifting towards deep and unconventional fields,the reservoirs are highly heterogeneous,and so the previous single-point analysis based on core can no longer meet the needs.It is necessary to comprehensively analyze the multi-scale images and experimental data of cores.Moreover,core analysis has developed from conventional manual description to the current digital core technology,and further towards the intelligent recognition of cores.Firstly,the paper comprehensively summarizes the current research status of core image analysis at home and abroad,and then proposes the definition and connotation of intelligent recognition technology for cores;next,the intelligent recognition of cores has been elaborated based on the case study of how to reconstruct the high-resolution CT images of full-diameter pore structure using micro-nano CT images;finally,the application of intelligent recogni-tion technology for cores in reservoir evaluation,fracturing scheme design,and micro-seepage mechanism research is prospected.The proposal of intelligent recognition technology for cores reflects that artificial intelligence technology has begun to upgrade and de-velop synchronously in the oil and gas field,i.e.,from the primary stage of intelligentization and speed and efficiency improvement of single-point business to a higher stage of multi-scale and multi-modal data fusion,application of large model technology in vertical fields,as well as high-quality development.

artificial intelligenceintelligent recognition of coresrock constituentspore structurerock structure

刘合、任义丽、李欣、朱如凯、胡延旭、刘茜、苏乾潇、吴健平、李彬

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多资源协同陆相页岩油绿色开采全国重点实验室 黑龙江大庆 163712

中国石油勘探开发研究院 北京 100083

中国石油天然气集团有限公司勘探开发人工智能技术研发中心 北京 100083

中国石油华北油田公司勘探开发研究院 河北任丘 062552

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人工智能 岩心智能识别 岩石组分 孔隙结构 岩石结构

国家自然科学基金面上项目中国石油天然气股份有限公司科技项目

423721752023DJ84

2024

石油学报
中国石油学会

石油学报

CSTPCD北大核心
影响因子:3.438
ISSN:0253-2697
年,卷(期):2024.45(8)