碳酸盐岩缝洞体体积定量计算及其影响因素分析探索——以塔河油田主体区为例

2013年 52卷 第No. 2期
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Carbonate fracture-cave volume quantitative calculation and its influencing factors analysis:case study of the main
area in Tahe Oilfield
1.中国石油化工股份有限公司西北油田分公司勘探开发研究院,新疆乌鲁木齐830011;2.中国石油化工股
份有限公司石油物探技术研究院,江苏南京211103;3.中国地质大学(武汉)地空学院,湖北武汉430074
Liu Qun,Exploration and Development Research Institute,Northwest Oilfield Branch Company,SINOPEC,Urumchi
830011,China
塔河油田主力产层为奥陶系碳酸盐岩岩溶缝洞型油藏,岩溶缝洞体在地震剖面上最基本的表现为“
串珠状”强振幅异常反射。在岩溶缝洞体的地震资料分辨率和定量化计算理论依据分析的基础上,通过对
“串珠状”反射异常体的雕刻和体积估算,以及由大量数值模拟结果统计获得的体积校正系数的校正,定
量计算了有效缝洞体的体积,取得了塔河油田碳酸盐岩缝洞体体积定量化计算方法探索研究的初步成果
。进一步分析了影响计算精度的主要因素,指出开展大面积的高精度地震采集、发展与应用适应缝洞体
准确成像的叠前深度偏移处理新技术,同时开展大批量系统性的物理模拟实验工作,有望逐步提高缝洞
体体积定量化预测的精度,为碳酸盐岩缝洞储集体的储量计算以及后续开发方案的制定提供可靠的参考
依据。
The main production type is the Ordovician carbonate Karst fracture-cave reservoir in Tahe Oilfield.Karst fracture-
cave displays strong "string" reflection amplitude anomaly on seismic sections.On the basis of the analysis about the
resolution of seismic data and the theoretical basis for quantitative calculation of Karst fracture-cave,we
quantitatively calculated the effective fracture-cave volume by the characterization of the strong seismic anomaly
body,apparent-volume estimation,as well as volume correction coefficient of estimated results correction by
statistics of a large number of numerical simulation results,and obtain preliminary results for quantitative
calculation of the volume for Karst fracture-cave in Tahe Oilfield.Furthermore,some main factors which impact the
calculation precision are analyzed.The analysis indicates that the calculation accuracy of effective fracture-cave
volume would be improved by large-scale high-precision seismic data acquisition,further development of
application new prestack depth migration technologies suitable for accurate imaging of fracture-cave,and much
systematical physical modeling in the nextstep.
岩溶缝洞体; 地震异常体; 体积校正系数; 定量计算; 影响因素;
Karst fracture-cave; seismic anomaly body; volume correction coefficient; quantitative
calculation; influencing factors
;
10.3969/j.issn.1000-1441.2013.02.016