通过比较反演分析在下印度河盆地进行 PNN 增强地震反演以建立孔隙度模型并划分潜在的异质气砂

IF 1.9 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Urooj Shakir, Aamir Ali, Muyyassar Hussain, Ahmed E. Radwan, Ahmed Abd El Aal
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引用次数: 0

摘要

过去二十年来,地震反演一直采用综合数据集方法测量反演阻抗。本研究侧重于多属性地震反演和地质统计概率神经网络(PNN)方法的应用,以确定巴基斯坦下印度河盆地(LIB)Mehar-Mazarani 油田的岩石属性和岩流分类。研究比较了五种不同的反演技术,包括基于模型的反演(MBI)、彩色反演(CI)、线性稀疏尖峰反演(LSSI)、带限反演(BLI)和最大似然稀疏尖峰反演(MLSSI)。在古新世和白垩纪地质复合储层中分析了声学 P 阻抗(Zp)、密度(ρ)、孔隙度(φ)和页岩体积(Vsh)等反演输出结果,以确定含气区。结果表明,在 1630 至 1700 毫秒(ms)之间存在天然气,相应的深度范围从大约 3200 米到 4200 米,厚度各不相同。在各种反演技术中,MBI 显示出更高的精确度,反演的密度体积显示出 0.98 的强相关系数和最低的均方根误差(RMSE),相对误差为 0.10 m/s * g/cc。采用地质统计 PNN 方法估算了砂储层内 Vsh 和 φ 的变化。MBI 再次得出了更可靠的结果,测量和反演属性之间具有很强的相关性。在预定的低阻抗区观察到高φ和低 Vsh。总体而言,MBI 被证明是最准确、最可靠的技术,能够清晰地识别天然气层。这项研究强调了地震反演,特别是 MBI 的应用,在确定 Mehar-Mazarani 气田的岩石属性和识别含气区方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

PNN Enhanced Seismic Inversion for Porosity Modeling and Delineating the Potential Heterogeneous Gas Sands via Comparative Inversion Analysis in the Lower Indus Basin

PNN Enhanced Seismic Inversion for Porosity Modeling and Delineating the Potential Heterogeneous Gas Sands via Comparative Inversion Analysis in the Lower Indus Basin

Seismic inversion has been in use for the last two decades to measure inverted impedances using an integrated data set approach. This research focuses on the application of multi-attribute seismic inversion and the geostatistical probabilistic neural network (PNN) approach for determining rock properties and litho-fluid classification in the Mehar-Mazarani Field of the Lower Indus Basin (LIB), Pakistan. The study compares five different inversion techniques, including model-based inversion (MBI), colored inversion (CI), linear sparse spike inversion (LSSI), band-limited inversion (BLI), and maximum likelihood sparse spike inversion (MLSSI). The inverted outputs, such as acoustic P-impedance (Zp), density (ρ), porosity (φ), and shale volume (Vsh), were analyzed in Paleocene and Cretaceous geological complex reservoirs to identify gas-bearing zones. The results indicated the existence of gas between 1630 and 1700 ms (ms) and corresponding depth ranges from approximately 3200 m up to 4200 m with varying thickness. Amongst the inversion techniques, MBI demonstrated greater accuracy, with inverted density volumes showing a strong correlation coefficient of 0.98 and the lowest root mean square error (RMSE) and relative error of 0.10 m/s * g/cc. A geostatistical PNN approach was employed to estimate variations in Vsh and φ within the sand reservoir. MBI again yielded more reliable results, with a strong correlation between the measured and inverted attributes. High φ and low Vsh were observed in predetermined low-impedance zones. Overall, MBI is proven to be the most accurate and reliable technique, providing clear identification of the gas occurrence. This research highlights the effectiveness of seismic inversion, particularly the application of MBI, in determining rock properties and identifying gas-bearing zones within the Mehar-Mazarani gas field.

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来源期刊
pure and applied geophysics
pure and applied geophysics 地学-地球化学与地球物理
CiteScore
4.20
自引率
5.00%
发文量
240
审稿时长
9.8 months
期刊介绍: pure and applied geophysics (pageoph), a continuation of the journal "Geofisica pura e applicata", publishes original scientific contributions in the fields of solid Earth, atmospheric and oceanic sciences. Regular and special issues feature thought-provoking reports on active areas of current research and state-of-the-art surveys. Long running journal, founded in 1939 as Geofisica pura e applicata Publishes peer-reviewed original scientific contributions and state-of-the-art surveys in solid earth and atmospheric sciences Features thought-provoking reports on active areas of current research and is a major source for publications on tsunami research Coverage extends to research topics in oceanic sciences See Instructions for Authors on the right hand side.
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