物探与化探
物探與化探
물탐여화탐
GEOPHYSICAL AND GEOCHEMICAL EXPLORATION
2014年
3期
497-503
,共7页
碳酸盐岩%缝洞型储层%储层表征%流体预测%综合评价
碳痠鹽巖%縫洞型儲層%儲層錶徵%流體預測%綜閤評價
탄산염암%봉동형저층%저층표정%류체예측%종합평개
carbonnate reservoir%fracture-cavity%reservoir characterization%fluid prediction%reservoir evaluation
缝洞型碳酸盐岩储层存在强烈的空间非均质性,储层表征与评价难度极大。塔北隆起西部W区块奥陶系中统顶部发育稳定的台地相碳酸盐岩缝洞型储层。应用古地理坐标转换构造建模技术、测井储层分析方法,并结合缝洞型储层地震属性进行储层相研究,以储层相分析成果为基础建立双孔隙度模型,对缝洞型储层进行定量表征,最后结合AVO流体预测,进行综合评价。研究表明:该区碳酸盐岩储层类型主要为裂缝型、裂缝孔洞型,裂缝既是储集空间又是孔洞形成的诱导因素;本征值裂缝属性和地震波形分类属性对裂缝与孔洞响应较为敏感;储层含油饱和度提高之后, AVO现象更趋明显,叠前AVO反演的流体预测技术能对缝洞型碳酸盐岩储层流体进行合理预测、评价。
縫洞型碳痠鹽巖儲層存在彊烈的空間非均質性,儲層錶徵與評價難度極大。塔北隆起西部W區塊奧陶繫中統頂部髮育穩定的檯地相碳痠鹽巖縫洞型儲層。應用古地理坐標轉換構造建模技術、測井儲層分析方法,併結閤縫洞型儲層地震屬性進行儲層相研究,以儲層相分析成果為基礎建立雙孔隙度模型,對縫洞型儲層進行定量錶徵,最後結閤AVO流體預測,進行綜閤評價。研究錶明:該區碳痠鹽巖儲層類型主要為裂縫型、裂縫孔洞型,裂縫既是儲集空間又是孔洞形成的誘導因素;本徵值裂縫屬性和地震波形分類屬性對裂縫與孔洞響應較為敏感;儲層含油飽和度提高之後, AVO現象更趨明顯,疊前AVO反縯的流體預測技術能對縫洞型碳痠鹽巖儲層流體進行閤理預測、評價。
봉동형탄산염암저층존재강렬적공간비균질성,저층표정여평개난도겁대。탑북륭기서부W구괴오도계중통정부발육은정적태지상탄산염암봉동형저층。응용고지리좌표전환구조건모기술、측정저층분석방법,병결합봉동형저층지진속성진행저층상연구,이저층상분석성과위기출건립쌍공극도모형,대봉동형저층진행정량표정,최후결합AVO류체예측,진행종합평개。연구표명:해구탄산염암저층류형주요위렬봉형、렬봉공동형,렬봉기시저집공간우시공동형성적유도인소;본정치렬봉속성화지진파형분류속성대렬봉여공동향응교위민감;저층함유포화도제고지후, AVO현상경추명현,첩전AVO반연적류체예측기술능대봉동형탄산염암저층류체진행합리예측、평개。
Fracture-cavity type carbonatite reservoir has strong dimensional anisotropism, and hence reservoir characterization and eval-uation are very difficult. The plateau facies carbonatite fracture-cavity reservoir is stably developed in Middle Ordovician strata in west-ern W block of northern Tarim uplift. Utilizing paleo-geographic coordinate transform, logging reservoir analysis and sensibility attribu-tor analysis of the fracture-cavity type carbonatite reservoir, the authors studied the reservoir facies. Based on reservoir facies research and utilizing stochastic method, the authors built the dual porosity model for fracture-cavity reservoir, and characterized the carbonatite reservoir. Finally, in combination with AVO inversion and reservoir characterization, the carbonatite reservoir was evaluated. It is proved that the reservoir pattern in the study area is mainly of the fracture and cavity type, with fractures acting both as hydrocarbon ac-cumulation space and as the factor for the formation of cavity. AFE ( Automatic Fault Extraction) and wave classification attribution were sensitive to the fracture and cavity type reservoir. With increasing oil saturation, AVO of the reservoir became more obvious. The fluid prediction method based on pre-stack AVO inversion could reasonably forecast oil province of carbonnate reservoir.