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地质统计学反演在稠油油藏砾岩夹层预测中的应用

Application of geostatistical inversion in prediction of conglomerate interlayer in heavy oil reservoir
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摘要 随着开发程度加剧,中海油增储上产不断突破下限,越来越走向深层、低渗、深水和稠油。渤海海域探明原油地质储量超60%为稠油,开发难度大。影响稠油油藏热采开发的关键地质因素有油藏类型、含油饱和度、隔夹层、小断层等,其中隔夹层影响最大。D油田为辫状河沉积、储集层非均质性强的厚层块状特超稠油油藏。针对D油田砾岩夹层薄、地震预测精度低的特点,采用高分辨率地质统计学反演技术,进行了测井曲线标准化、概率密度参数、变差函数研究,获得了岩性和厚度定量表征结果,识别了厚度<5 m的砾岩夹层,平面展布符合研究区地质特征,为心滩内部夹层三维地质模型构建提供了依据。 With the intensification of development, CNOOC continues to break through the lower limit of production, and is increasingly moving towards deep, low permeability, deep water and heavy oil. More than 60 % of the proven crude oil geological reserves in the Bohai Sea are heavy oil, which is difficult to develop. The key geological factors affecting the thermal recovery development of heavy oil reservoirs include reservoir type, oil saturation, interlayer and small faults, among which interlayer has the greatest impact. D Oilfield is a thick block super heavy oil reservoir with braided river deposition and strong reservoir heterogeneity. Aiming at the characteristics of thin conglomerate interlayer and low seismic prediction accuracy in D Oilfield, high-resolution geostatistical inversion technology was used to study the standardization of logging curves, probability density parameters and variogram functions. The quantitative characterization results of lithology and thickness were obtained. The conglomerate interlayer with a thickness of less than 5 meters was identified. The plane distribution conforms to the geological characteristics of the study area, which provides a basis for the construction of a three-dimensional geological model of the interlayer inside the heart beach.
作者 赵卫平 范洪军 陈飞 ZHAO Weiping;FAN Hongjun;CHEN Fei(CNOOC Research Institute,Beijing 100028,China)
出处 《海洋地质前沿》 CSCD 北大核心 2022年第3期65-73,共9页 Marine Geology Frontiers
基金 中海石油(中国)有限公司科技项目“海上稠油热采开发方案设计方法及关键技术研究”(2013-YXZHKY-013)。
关键词 辫状河沉积 砾岩 夹层 地质统计学反演 braided river conglomerate interlayer geostatistical inversion
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