Open AccessAPPLICATION OF STATISTICAL METHODS FOR PROCESSING THE RESULTS OF GROUND GEOCHEMICAL SURVEY WITH THE PURPOSE OF OIL AND GAS FORECASTING
Author(s) -
Рустам Ильясович Тимшанов,
Sergey A. Sheshukov
Publication year - 2021
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2021-2-1-263-270
Subject(s) - geology , artificial neural network , fossil fuel , statistical analysis , data processing , tatar , petroleum engineering , mining engineering , statistics , machine learning , computer science , engineering , mathematics , operating system , waste management , linguistics , philosophy
To solve the problems of forecasting oil and gas content on one of the local structures of the South Tatar arch (Volzhsko-Kama anteclise), discriminant and neural network analyzes with training on reference wells were applied during the processing the results of geochemical surveys. Comparison with the results of the classical quantitative description of the geochemical field showed mainly the coincidence of areas of high hydrocarbon concentrations in near-surface sediments and anomalies identified by statistical methods. Based on the integration of the results of statistical processing of geochemical data and their geological interpretation, the structure was characterized as promising.