EERC Publications
Document Type
Conference Proceeding
Files
Download Full Text (3.5 MB)
Publication Date
6-20-2022
Publication Title
SPE/AAPG/SEG Unconventional Resources Technology Conference
Keywords
Data mining, Bakken Formation, Oil wells
Abstract
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.
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
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.
Recommended Citation
Chakhmakhchev, Alexander V.; Azzolina, Nicholas A.; Kurz, Bethany A.; Yu, Xue; Dalkhaa, Chantsalmaa; Kovacevich, Justin T.; and Sorensen, James A., "Completion Optimization in the Bakken Petroleum System Using Data Mining" (2022). EERC Publications. 19.
https://commons.und.edu/eerc-publications/19
Notes
URTEC-3723843-MS