METHOD FOR OIL AND GAS ESTIMATES OF EXPLORATION SITES VIA GEOLOGICAL, PARAMETRIC AND SATELLITE INFORMATION

IF 0.2 Q4 GEOLOGY
M. Popov, М. Тopolnytskyi, O. Titarenko, S. Stankevich
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引用次数: 0

Abstract

The article is devoted to the search and exploration of hydrocarbons deposits, which is a crucial and complicated geological task and requires the large bulk of initial data and significant intellectual efforts of geologists. In this regard, the urgent problem is to ease the working conditions of experts and improve the accuracy of forecasting the oil and gas potential of subsoil areas through the use of novel digital methods of heterogeneous data integration and interpretation. The paper proposes a new method to form predictive estimates of the oil and gas content of subsoil areas via combining geological, ground-based parametric, and satellite information. As the mathematical basis of the method, the means of Dempster-Shafer's theory of evidence are used, which makes it possible to combine data from different sources, proceed with incomplete and inaccurate data, etc. Most of the procedures that make up the body of the method are presented in the form of algorithms, which simplifies its technologization. The final information product of the proposed method is a map with the distribution of probabilistic estimates of oil and gas prospects of subsoil areas within a given study area. The developed method is implemented in software and tested at the Vostochno-Rogintsovskoye oil field. The test results indicated its fairly high efficiency.
利用地质、参数和卫星信息对勘探地点进行油气估计的方法
这篇文章致力于寻找和勘探碳氢化合物矿床,这是一项重要而复杂的地质任务,需要大量的初始数据和地质学家的大量智力努力。在这方面,迫切需要解决的问题是如何通过使用异质数据集成和解释的新型数字方法来缓解专家的工作条件,提高预测底土区油气潜力的准确性。本文提出了一种结合地质信息、地面参数信息和卫星信息形成地下油气含量预测估计的新方法。作为该方法的数学基础,采用了邓普斯特-谢弗证据理论的手段,可以将不同来源的数据结合起来,从不完整和不准确的数据入手等。构成该方法主体的大多数过程都以算法的形式呈现,从而简化了其技术性。该方法的最终信息产品是给定研究区域内底土区油气前景概率估计分布的地图。该方法已在软件中实现,并在东方港-罗金佐夫斯科耶油田进行了测试。试验结果表明,该方法具有较高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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