重力数据三维反演方法,用于确定控制埃及苏伊士湾西南部埃尔泽特盆地地区油气积聚的构造因素

A. Hassan, K. Farag, A.A.F. Aref, A. L. Piskarev
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引用次数: 0

摘要

埃及苏伊士湾西南部的 Gebel EL-Zeit 地区是沉积盆地中油气潜力巨大的地区,因此针对该地区观测到的布盖尔异常现象提出了三阶段反演方法。盐沼泽掩盖了 El-Zeit 盆地中部主盆地的深部结构,因此采用这种方法来克服三维地震建模的挑战。我们的研究包括直接和反向参数化序列,包括在试错启动和反向估算中分析输入和输出,以评估计算中使用的约束参数是否以及在多大程度上能够实现预期目标。数据缩减、过滤、优化和约束假设用于确定最小密度模型参数集,以限制可接受的密度对比范围,这是研究基底深度、膨胀、槽谷、断层/褶皱和沉积内部结构以及直接建模所必需的,目的是创建一个简单的模型以节省时间。总深度从浅到深的 13 口约束井没有参与直接建模,但为整个研究区域的反演结果图形显示提供了质量控制。此外,对许多参数约束进行了反演,以调节计算数据与模型解之间的关系,这使我们能够确定哪种反演试验提供了最佳参数化序列,从而为深度-密度模型提供了最合适的解,该模型以最小的计算误差逼近研究区域的实际情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
METHODS FOR 3D INVERSION OF GRAVITY DATA IN INDENTIFYING TECTONIC FACTORS CONTROLLING HYDROCARBON ACCUMULATIONS IN THE EL ZEIT BASIN AREA, SOUTHWESTERN GULF OF SUEZ, EGYPT
The Gebel EL-Zeit area in the southwestern Gulf of Suez, Egypt, is an area with a significant hydrocarbon potential in sedimentary basins, so that the three-stage inversion method was proposed for the Bouguer anomalies observed therein. Salt diapirs obscured the deep structure of the main central El-Zeit basin; hence, this method was implemented to overcome challenges in 3D seismic modeling. Our study included direct and inverse parameterization sequences that involved analyzing the inputs and outputs within trial-and-error initiations and inverse estimations to assess whether and how much the constraining parameters used in the calculations could achieve the intended aim. Data reduction, filtering, optimization, and constraint assumptions were used to determine the minimal set of density model parameters needed to set limits on the acceptable range of density contrasts that are required to study the basement depths, swells, troughs, faulting/folding and intra-sedimentary structures, and for direct modeling aimed at creating a simple model to save time. The thirteen constrained wells with a total depth ranging from shallow to deep were not involved in direct modeling but provided quality control over the graphical display of the inverse results for the entire study area. Moreover, many parameter constraints were inverted to regulate the way the calculated data are related to the model’s solution that allowed us to determine which inversion trial provided the best parameterization sequence and, therefore, yielded the most appropriate solution for the depth-density model which is approximating reality with a minimal computation error in the study area.
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