Method for Oil and Gas Estimates of Exploration Sites via Geological, Parametric and Satellite Information

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.