Python-provided algorithm for calculating oil field operation parameters for expansion drive reservoirs

Abstract

The paper provides a brief description of the Python programming language, as well as its advantages and disadvantages. It considers a practical task to be solved for the oil and gas industry and ways to solve it through the Python capabilities. It proposes calculations for expansion drive oil reservoirs. Recently, much attention has been paid to computer-assisted systems aimed at processing huge amounts of expert information in the field of technical and economic appraisal of oil and gas fields. From an applied point of view, economic efficiency of an oil and gas investment project is assessed through a certain mathematical model built for calculating and analyzing project criteria based on a variety of forecast technological indicators for reservoirs produced and the field as such. Mathematical modeling in projects is challenging and demanding due to constant updating, because each field is individual, being developed in its own specific geological and technological way, with multiple options and standards for capital and operating costs. In this regard, the paper aims to create and apply smart information technology for field development, which involves collecting information on gas production wells using the Python software. The calculated dependencies and the Python software product can determine critical and recommended flow rate (with a margin of 10-20%) for wells to operate smoothly as long as sand and fluid is accumulated at the bottomhole.