Digital field | Sciact

Digital field Full article

Journal

Georesources
ISSN: 1608-5043 , E-ISSN: 1608-5078

Output data

Year: 2018, Volume: 20, Number: 3, Pages: 139-141 Pages count : 3 DOI: 10.18599/grs.2018.3.139-141

Tags

Computational methods; Filtration; High-performance computing; Inverse problems; Logging; Seismic survey

Authors

Kabanikhin S.I. ^1,2,3 , Shishlenin M.A. ^1,2,3

Affiliations

1	Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Ak. Lavrentiev ave., 6, Novosibirsk, 630090, Russian Federation
2	Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russian Federation
3	Novosibirsk State University, Novosibirsk, Russian Federation

The paper presents the developed computational technologies that participate in a complex of programs for creating a digital model of an operating field. Linear methods of processing the areal systems of seismic observations, as well as algorithms for determining the electromagnetic parameters of the near wellbore space for a horizontally layered medium, are developed. A computational technology was developed that allows real-time monitoring of well production rate, gas factor and water cut for additional thermodynamic parameters of wells. On the basis of this technology, methods are implemented to maximize the production of the existing field, taking into account the diameter of the pipelines, the intensity of production, etc. The algorithms for determining the reservoir field filtration coefficient from the pressure data specified in the injection and production wells have been developed, on the basis of which the drilling of new additional injection and production wells has been optimized. © 2018 The Authors.

Kabanikhin S.I. , Shishlenin M.A.
Digital field
Georesources. 2018. V.20. N3. P.139-141. DOI: 10.18599/grs.2018.3.139-141 WOS Scopus OpenAlex

Web of science:	WOS:000458455400002
Scopus:	2-s2.0-85081220165
OpenAlex:	W4240897421

DB	Citing
Scopus	9
OpenAlex	9
Web of science	5