Smart GIS Subsystem to Plan the Exploratory Oil and Gas Well Locations

S. Turenko, G. Prozorova, A.V. Spielman
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Abstract

The paper considers the problem of planning exploratory drilling for oil and gas in terms of the location of wells. The available software solutions have been analyzed. The fundamental architecture of a smart drilling planning subsystem is proposed. The possibilities of implementing the proposed GIS-based architecture have been analyzed. The data flows in choosing the exploratory well locations have been characterized. The forecasted increment of potential hydrocarbon reserves is adopted as a formalized criterion for the optimal well location. A choice algorithm is proposed based on the formal data analysis techniques and the principle of analogy in geological research. The algorithm steps are: 1) gathering data; 2) localizing potential deposits; 3) determining the analogous fields and target parameters; 4) estimating the increment of potential reserves for the well, considering the drainage radius; 5) choosing the well location, ensuring the maximum increment of potential reserves. The algorithm is based on a formalized estimation of the similarity between geological objects, which allows objectively justifying the use of the analogous field data. A practical example of using the algorithm in a specialized module of the Nasha GIS geoinformation system (JSC Sibgeoproekt) is shown. The testing results have shown that the algorithm is adequate and can be recommended for use by oil and gas enterprises.
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智能GIS子系统在油气勘探井位规划中的应用
本文从井位的角度考虑了油气勘探钻井的规划问题。分析了可用的软件解决方案。提出了智能钻井规划子系统的基本体系结构。分析了基于gis的系统架构实现的可能性。对探井选址的数据流进行了描述。采用预测的潜在油气储量增量作为最优井位的形式化准则。基于形式化数据分析技术和地质研究中的类比原理,提出了一种选择算法。算法步骤为:1)收集数据;2)定位潜在矿床;3)确定模拟场和目标参数;4)考虑排水半径,估算井的潜在储量增量;5)选择井位,保证潜在储量的最大增量。该算法基于对地质对象之间相似性的形式化估计,从而可以客观地证明类似现场数据的使用。最后给出了该算法在Nasha GIS地理信息系统(JSC Sibgeoproekt)专用模块中的应用实例。测试结果表明,该算法是合理的,可以推荐给油气企业使用。
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