An advanced workflow to compress the uncertainties of stochastic distribution of Bahariya reservoir properties using 3D static modeling: An example from Heba Oil Fields, Western Desert, Egypt

Q1 Earth and Planetary Sciences Petroleum Research Pub Date : 2023-06-01 DOI:10.1016/j.ptlrs.2022.09.001
Tamer Hassan , Ahmad M.K. Basal , Mohammad A. Omran , Manar H. Mowafy , Mohammad A. Sarhan
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引用次数: 4

Abstract

The main objective of this paper is to construct a static model that compress the uncertainties of the stochastic distribution of the reservoir properties of the Bahariya Formation in Heba field, at the northeastern portion of the Western Desert. This model has been constructed through the integration of the interpretations of the eighteen 2D seismic sections and the analysis of well logs data for four wells (HEBA 300X, E.BAH-E−1X, E.BAH-D-1X, and HEBA 10X) drilled in the study area. This set of data was implemented in a harmonic workflow. Structural framework was the first step created on the basis of the seismic and well log interpretations. Model zonation was mainly managed by the marine flooding events took place during the Cenomanian period. The trapping faults position uncertainty has been compressed through the tying of the seismic profiles with the identified fault cuts in the well data. Effective porosity spectrum was broke up into three reservoir qualities. The results showed heterogeneous facies qualities for oil production in specific five zones in the topmost part of the Bahariya Formation. The effective porosity model was generated stochastically considering the normal distribution for each reservoir quality. Water saturation was distributed by two methods; 1) Sequential Gaussian Simulation that was co-simulated by porosity model. 2) Log-based saturation height function for each reservoir quality. This methodology provided as accurate as possible estimates for the volume calculation by quantifying the sensitivity of the important parameters such as oil contact. Additionally, the model was prepared to be used as a front end for dynamic simulation.

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基于三维静态建模的Bahariya储层物性随机分布不确定性压缩方法以埃及西部沙漠赫巴油田为例
本文的主要目的是建立一个静态模型,以压缩西部沙漠东北部赫巴油田Bahariya组储层性质随机分布的不确定性。该模型是通过整合对18个二维地震剖面的解释和对研究区域内钻探的四口井(HEBA 300X、E.BA-H-E−1X、E.BAH-D-1X和HEBA 10X)的测井数据的分析而构建的。这组数据是在谐波工作流程中实现的。构造框架是在地震和测井解释的基础上建立的第一步。模式区划主要由Cenomanian时期发生的海洋洪水事件管理。通过将地震剖面与井数据中已识别的断层切口相结合,压缩了圈闭断层位置的不确定性。将有效孔隙度谱分解为三种储层性质。结果表明,在Bahariya组最上部的特定五个带中,石油生产具有非均质性。考虑到每个储层质量的正态分布,随机生成有效孔隙度模型。含水饱和度的分布有两种方法;1) 由孔隙度模型共同模拟的序列高斯模拟。2) 每种储层质量的基于测井的饱和高度函数。该方法通过量化重要参数(如油接触)的灵敏度,为体积计算提供了尽可能准确的估计。此外,该模型还准备用作动态模拟的前端。
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来源期刊
Petroleum Research
Petroleum Research Earth and Planetary Sciences-Geology
CiteScore
7.10
自引率
0.00%
发文量
90
审稿时长
35 weeks
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