期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Bridging element-free Galerkin and pluri-Gaussian simulation for geological uncertainty estimation in an ensemble smoother data assimilation framework
1
作者 Bogdan Sebacher Remus Hanea 《Petroleum Science》 SCIE EI CAS CSCD 2024年第3期1683-1698,共16页
The facies distribution of a reservoir is one of the biggest concerns for geologists,geophysicists,reservoir modelers,and reservoir engineers due to its high importance in the setting of any reliable decisionmaking/op... The facies distribution of a reservoir is one of the biggest concerns for geologists,geophysicists,reservoir modelers,and reservoir engineers due to its high importance in the setting of any reliable decisionmaking/optimization of field development planning.The approach for parameterizing the facies distribution as a random variable comes naturally through using the probability fields.Since the prior probability fields of facies come either from a seismic inversion or from other sources of geologic information,they are not conditioned to the data observed from the cores extracted from the wells.This paper presents a regularized element-free Galerkin(R-EFG)method for conditioning facies probability fields to facies observation.The conditioned probability fields respect all the conditions of the probability theory(i.e.all the values are between 0 and 1,and the sum of all fields is a uniform field of 1).This property achieves by an optimization procedure under equality and inequality constraints with the gradient projection method.The conditioned probability fields are further used as the input in the adaptive pluri-Gaussian simulation(APS)methodology and coupled with the ensemble smoother with multiple data assimilation(ES-MDA)for estimation and uncertainty quantification of the facies distribution.The history-matching of the facies models shows a good estimation and uncertainty quantification of facies distribution,a good data match and prediction capabilities. 展开更多
关键词 Element free Galerkin(EFG) Adaptive pluri-Gaussian simulation(APS) Facies distribution estimation Ensemble smoother with multipledata assimilation(esmda)
下载PDF
Geophysical and Production Data History Matching Based on Ensemble Smoother with Multiple Data Assimilation 被引量:2
2
作者 Zelong Wang Xiangui Liu +2 位作者 Haifa Tang Zhikai Lv Qunming Liu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2020年第5期873-893,共21页
The Ensemble Kalman Filter(EnKF),as the most popular sequential data assimilation algorithm for history matching,has the intrinsic problem of high computational cost and the potential inconsistency of state variables ... The Ensemble Kalman Filter(EnKF),as the most popular sequential data assimilation algorithm for history matching,has the intrinsic problem of high computational cost and the potential inconsistency of state variables updated at each loop of data assimilation and its corresponding reservoir simulated result.This problem forbids the reservoir engineers to make the best use of the 4D seismic data,which provides valuable information about the fluid change inside the reservoir.Moreover,only matching the production data in the past is not enough to accurately forecast the future,and the development plan based on the false forecast is very likely to be suboptimal.To solve this problem,we developed a workflow for geophysical and production data history matching by modifying ensemble smoother with multiple data assimilation(ESMDA).In this work,we derived the mathematical expressions of ESMDA and discussed its scope of applications.The geophysical data we used is P-wave impedance,which is typically included in a basic seismic interpretation,and it directly reflects the saturation change in the reservoir.Full resolution of the seismic data is not necessary,we subsampled the P-wave impedance data to further reduce the computational cost.With our case studies on a benchmark synthetic reservoir model,we also showed the supremacy of matching both geophysical and production data,than the traditional reservoir history matching merely on the production data:the overall percentage error of the observed data is halved,and the variances of the updated forecasts are reduced by two orders of the magnitude. 展开更多
关键词 History matching data assimilation inverse modeling esmda.
下载PDF
聚合物驱多参数数值模拟自动历史拟合方法 被引量:4
3
作者 苏旭 《油气地质与采收率》 CAS CSCD 北大核心 2022年第5期102-110,共9页
为了解决聚合物驱历史拟合涉及参数多、工作量大、花费时间较长等问题,从聚合物驱数值模拟基本原理出发,在多参数历史拟合影响因素研究的基础上选用应用较为广泛的ENKF方法进行聚合物驱自动历史拟合方法的探索研究,并针对聚合物驱历史... 为了解决聚合物驱历史拟合涉及参数多、工作量大、花费时间较长等问题,从聚合物驱数值模拟基本原理出发,在多参数历史拟合影响因素研究的基础上选用应用较为广泛的ENKF方法进行聚合物驱自动历史拟合方法的探索研究,并针对聚合物驱历史拟合参数非线性特征进行改进,采用ESMDA方法研制了自动历史拟合软件,且对实际区块进行了聚合物驱历史拟合。研究结果表明聚合物驱多参数数学模型可以较好地反映油藏中聚合物驱替的基本规律,通过综合调整聚合物的吸附量、黏浓关系、残余阻力系数、不可及孔隙体积等参数,模拟结果与油藏实际动态相符,达到历史拟合的目的。所建立的自动历史拟合的数学模型满足方法要求,所研制的自动历史拟合软件可以降低模型计算结果系统误差。实际测试结果表明:全区含水趋势基本符合历史动态,累积产油量误差为3.8%,单井拟合结果较好,单井拟合符合率为81.2%,满足聚合物驱历史拟合要求。 展开更多
关键词 聚合物驱 聚合物驱特征参数 esmda算法 集合卡尔曼滤波 数据同化 自动历史拟合
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部