"Completion Optimization in the Bakken Petroleum System Using Data Mini" by Alexander V. Chakhmakhchev, Nicholas A. Azzolina et al.
 

EERC Publications, Papers, & Presentations

Publication Date

6-2022

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Description

Therefore, the primary goal of this study was to identify optimal completion practices using publicly available well completion and production information and applying data-mining techniques that could accommodate nonlinear relationships.

Publication Title

SPE/AAPG/SEG Unconventional Resources Technology Conference

Keywords

Data mining, Bakken Formation, Oil wells

Material Type

Conference papers and proceedings

Publisher

Society of Petroleum Engineers/American Association of Petroleum Geologists/Society of Exploration Geophysicists

DOI

https://doi.org/10.15530/urtec-2022-3723843

Extent

17 pages (PDF/A, 3.5 megabytes)

Repository

University of North Dakota, Energy & Environmental Research Center, Library & Information Services. 15 North 23rd Street, Grand Forks, ND 58202. eerclibrary@undeerc.org.

Identifier

1996919

Notes

URTEC-3723843-MS

Rights

This paper reprinted with permission from Unconventional Resources Technology Conference, Houston, Texas, U.S., June 20–22, 2022, Copyright 2022 by Unconventional Resources Technology Conference (URTeC). Permission from URTeC is required for further use.

Completion Optimization in the Bakken Petroleum System Using Data Mining

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