A Simple Physics-Based Model Predicts Oil Production from Thousands of Horizontal Wells in Shales

Handle URI:
http://hdl.handle.net/10754/626050
Title:
A Simple Physics-Based Model Predicts Oil Production from Thousands of Horizontal Wells in Shales
Authors:
Patzek, Tadeusz ( 0000-0002-9389-7579 ) ; Saputra, Wardana; Kirati, Wissem
Abstract:
Over the last six years, crude oil production from shales and ultra-deep GOM in the United States has accounted for most of the net increase of global oil production. Therefore, it is important to have a good predictive model of oil production and ultimate recovery in shale wells. Here we introduce a simple model of producing oil and solution gas from the horizontal hydrofractured wells. This model is consistent with the basic physics and geometry of the extraction process. We then apply our model thousands of wells in the Eagle Ford shale. Given well geometry, we obtain a one-dimensional nonlinear pressure diffusion equation that governs flow of mostly oil and solution gas. In principle, solutions of this equation depend on many parameters, but in practice and within a given oil shale, all but three can be fixed at typical values, leading to a nonlinear diffusion problem we linearize and solve exactly with a scaling
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Patzek TW, Saputra W, Kirati W (2017) A Simple Physics-Based Model Predicts Oil Production from Thousands of Horizontal Wells in Shales. SPE Annual Technical Conference and Exhibition. Available: http://dx.doi.org/10.2118/187226-MS.
Publisher:
Society of Petroleum Engineers
Journal:
SPE Annual Technical Conference and Exhibition
Issue Date:
18-Oct-2017
DOI:
10.2118/187226-MS
Type:
Conference Paper
Sponsors:
This work was supported by the baseline and center funding at the Ali I. Al-Naimi Center for Petroleum Engineering Research (ANPERC) at the King Abdullah University of Science & Technology (KAUST) in the Kingdom of Saudi Arabia. We would like to thank Dr. Arthur Berman of Labyrinth Consulting Services, Inc. in Houston, Texas, for pointing out the multitudinous problems with allocation of oil well production in Texas, and working through a difficult example in DrillingInfo with Wardana and Wissem. Art visited us in November 2016.
Additional Links:
https://www.onepetro.org/conference-paper/SPE-187226-MS
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorPatzek, Tadeuszen
dc.contributor.authorSaputra, Wardanaen
dc.contributor.authorKirati, Wissemen
dc.date.accessioned2017-10-30T08:39:53Z-
dc.date.available2017-10-30T08:39:53Z-
dc.date.issued2017-10-18en
dc.identifier.citationPatzek TW, Saputra W, Kirati W (2017) A Simple Physics-Based Model Predicts Oil Production from Thousands of Horizontal Wells in Shales. SPE Annual Technical Conference and Exhibition. Available: http://dx.doi.org/10.2118/187226-MS.en
dc.identifier.doi10.2118/187226-MSen
dc.identifier.urihttp://hdl.handle.net/10754/626050-
dc.description.abstractOver the last six years, crude oil production from shales and ultra-deep GOM in the United States has accounted for most of the net increase of global oil production. Therefore, it is important to have a good predictive model of oil production and ultimate recovery in shale wells. Here we introduce a simple model of producing oil and solution gas from the horizontal hydrofractured wells. This model is consistent with the basic physics and geometry of the extraction process. We then apply our model thousands of wells in the Eagle Ford shale. Given well geometry, we obtain a one-dimensional nonlinear pressure diffusion equation that governs flow of mostly oil and solution gas. In principle, solutions of this equation depend on many parameters, but in practice and within a given oil shale, all but three can be fixed at typical values, leading to a nonlinear diffusion problem we linearize and solve exactly with a scalingen
dc.description.sponsorshipThis work was supported by the baseline and center funding at the Ali I. Al-Naimi Center for Petroleum Engineering Research (ANPERC) at the King Abdullah University of Science & Technology (KAUST) in the Kingdom of Saudi Arabia. We would like to thank Dr. Arthur Berman of Labyrinth Consulting Services, Inc. in Houston, Texas, for pointing out the multitudinous problems with allocation of oil well production in Texas, and working through a difficult example in DrillingInfo with Wardana and Wissem. Art visited us in November 2016.en
dc.publisherSociety of Petroleum Engineersen
dc.relation.urlhttps://www.onepetro.org/conference-paper/SPE-187226-MSen
dc.rightsArchived with thanks to the Society of Petroleum Engineersen
dc.titleA Simple Physics-Based Model Predicts Oil Production from Thousands of Horizontal Wells in Shalesen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalSPE Annual Technical Conference and Exhibitionen
kaust.authorPatzek, Tadeuszen
kaust.authorSaputra, Wardanaen
kaust.authorKirati, Wissemen
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