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Digital field. / Kabanikhin, Sergey I.; Shishlenin, Maxim A.

In: Georesursy, Vol. 20, No. 3, 01.01.2018, p. 139-141.

Research output: Contribution to journal › Article › peer-review

Harvard

Kabanikhin, SI & Shishlenin, MA 2018, 'Digital field', Georesursy, vol. 20, no. 3, pp. 139-141. https://doi.org/10.18599/grs.2018.3.139-141

APA

Kabanikhin, S. I., & Shishlenin, M. A. (2018). Digital field. Georesursy, 20(3), 139-141. https://doi.org/10.18599/grs.2018.3.139-141

Vancouver

Kabanikhin SI, Shishlenin MA. Digital field. Georesursy. 2018 Jan 1;20(3):139-141. doi: 10.18599/grs.2018.3.139-141

Author

Kabanikhin, Sergey I. ; Shishlenin, Maxim A. / Digital field. In: Georesursy. 2018 ; Vol. 20, No. 3. pp. 139-141.

BibTeX

@article{d665edc5d0b54e93a643ec46d6418aad,
title = "Digital field",
abstract = "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.",
keywords = "Computational methods, Filtration, High-performance computing, Inverse problems, Logging, Seismic survey",
author = "Kabanikhin, {Sergey I.} and Shishlenin, {Maxim A.}",
year = "2018",
month = jan,
day = "1",
doi = "10.18599/grs.2018.3.139-141",
language = "English",
volume = "20",
pages = "139--141",
journal = "Георесурсы",
issn = "1608-5043",
publisher = "ООО {"}Георесурсы{"}",
number = "3",

}

RIS

TY - JOUR

T1 - Digital field

AU - Kabanikhin, Sergey I.

AU - Shishlenin, Maxim A.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Computational methods

KW - Filtration

KW - High-performance computing

KW - Inverse problems

KW - Logging

KW - Seismic survey

UR - http://www.scopus.com/inward/record.url?scp=85081220165&partnerID=8YFLogxK

U2 - 10.18599/grs.2018.3.139-141

DO - 10.18599/grs.2018.3.139-141

M3 - Article

AN - SCOPUS:85081220165

VL - 20

SP - 139

EP - 141

JO - Георесурсы

JF - Георесурсы

SN - 1608-5043

IS - 3

ER -

ID: 23759082