渤东低凸起南段地层压力预测方法研究  

Study on the prediction method of formation pressure in the southern part of the Bodong low uplift

作　　者：金浩 马劲风[1,2,3] 李琳 贾凌云 王浩璠 JIN Hao;MA JinFeng;LI Lin;JIA LingYun;WANG HaoFan(Department of Geology,Northwest University,Xi'an 710069,China;National and Local Joint Engineering Research Center of Carbon Capture and Storage Technology,Xi'an 710069,China;Shaanxi Key Laboratory for Carbon Neutral Technology,Xi'an 710069,China;College of Urban and Environmental Sciences,Northwest University,Xi'an 710127,China;Shaanxi Xueqian Normal University,Xi'an 710100,China)

机构地区：[1]西北大学地质学系,西安710069 [2]二氧化碳捕集与封存技术国家地方联合工程研究中心,西安710069 [3]陕西省碳中和技术重点实验室,西安710069 [4]西北大学城市与环境学院,西安710127 [5]陕西学前师范学院,西安710100

出　　处：《地球物理学进展》2024年第2期788-799,共12页Progress in Geophysics

基　　金：中海石油(中国)有限公司天津分公司项目“渤东凹陷油气成藏动力学与有利勘探方向研究”(CCL2021TJT0NST0338);陕西省自然科学基础研究计划项目“二氧化碳捕集、利用和封存研究”(2021JCW-04);陕西省自然科学基础研究计划一般项目“CO_(2)地质封存地球物理监测技术研究”(2022JQ-228);陕西省自然科学基础研究计划一般项目“震电联合流体检测技术研究”(2022JQ-274)联合资助。

摘　　要：地层压力的预测在油气勘探开发中受到广泛的关注.渤东低凸起南段发育的异常压力分布尚不清楚,对后续勘探造成了一定阻碍.为此,本文对渤东低凸起南段东营组顶部至潜山之间的地层压力分布进行了研究.首先分别采用等效深度法、Eaton法和基于遗传算法优化的BP神经网络(GA-BP神经网络)方法进行了单井压力的预测,经优选后,选取GA-BP神经网络方法预测的单井压力结果;在此基础上,利用有效应力定理得到单井有效应力曲线,通过叠前同时反演得到研究区的弹性参数反演体,利用反演体及地震内部属性得到了研究区的有效应力反演体,再依据有效应力定理反演出渤东低凸起南段的地层压力反演体.结果表明,潜山顶面地层压力系数在1.10到1.85之间,可以为潜山内部的油气聚集提供较好的盖层条件,同时潜山顶面的异常压力可以为由凹陷运移至凸起处的油气继续向浅部运移提供一定的动力条件,地层压力的预测结果可为后续勘探的钻井设计提供参考.The prediction of formation pressure has received widespread attention in oil and gas exploration and development.The distribution of abnormal pressure developed in the southern part of the Bodong low uplift is still unclear,which has caused certain obstacles to subsequent exploration.This article studies the distribution of formation pressure between the top of the Dongying Formation and the buried hill in the southern part of the Bodong low uplift.Firstly,the equivalent depth method,Eaton method,and improved BP neural network method based on genetic algorithm(GA-BP neural network)are used to predict single well pressure,after optimization,the results of single well pressure predicted by GA-BP neural network method are selected;On this basis,the effective stress curve of single well is obtained by using the effective stress theorem,the elasticity parameter inversion volume of the study area is obtained by pre-stack simultaneous inversion,the effective stress inversion volume of the study area is obtained by using the inversion volume and seismic internal attributes,and then the formation pressure inversion volume of the southern part of the Bodong low uplift is inverted according to the effective stress theorem.The results show that the formation pressure coefficient on the top of the buried hill is between 1.10 and 1.85,it can provide good cap rock conditions for the accumulation of oil and gas inside the buried hill,and the abnormal pressure on the top of the buried hill can provide certain dynamic conditions for the oil and gas migrating from the sag to the uplift to continue migrating to the shallow part,the predicted results of formation pressure can provide reference for the drilling design of subsequent exploration.

关 键 词：渤东低凸起南段 GA-BP神经网络 叠前同时反演 井震结合 多属性分析 地层压力 

分 类 号：P631[天文地球—地质矿产勘探] P738[天文地球—地质学]