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Record W4254393001 · doi:10.2523/75162-ms

Improved Oil Sweep through Discrete Fracture Network Modeling of Gel Injections in the South Oregon Basin Field, Wyoming

2002· article· en· W4254393001 on OpenAlex
W. Dershowitz, D. Shuttle, R. Parney

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of SPE/DOE Improved Oil Recovery Symposium · 2002
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsCitationComputer scienceEnvironmental scienceLibrary science

Abstract

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Improved Oil Sweep through Discrete Fracture Network Modeling of Gel Injections in the South Oregon Basin Field, Wyoming W. Dershowitz; W. Dershowitz Golder Associates Inc. Search for other works by this author on: This Site Google Scholar D. Shuttle; D. Shuttle Golder Associates Inc. Search for other works by this author on: This Site Google Scholar R. Parney R. Parney Golder Associates Inc. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/DOE Improved Oil Recovery Symposium, Tulsa, Oklahoma, April 2002. Paper Number: SPE-75162-MS https://doi.org/10.2118/75162-MS Published: April 13 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Dershowitz, W., Shuttle, D., and R. Parney. "Improved Oil Sweep through Discrete Fracture Network Modeling of Gel Injections in the South Oregon Basin Field, Wyoming." Paper presented at the SPE/DOE Improved Oil Recovery Symposium, Tulsa, Oklahoma, April 2002. doi: https://doi.org/10.2118/75162-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Improved Oil Recovery Conference Search Advanced Search AbstractGel injection is used with water injection in fractured and heterogeneous reservoirs to decrease water production and improve the oil sweep efficiency. Gel treatments are able to achieve this because the gel is preferentially deposited to the most conductive fractures, blocking the water flow through those structures, and forcing to water to displace oil from the rock matrix instead.This paper describes discrete fracture network (DFN) analyses and simulations of gel injection at the South Oregon Basin, Wyoming Phosphoria formation. These simulations were carried out to evaluate the efficacy of gel injection in improving water injection strategies.IntroductionThe effectiveness of water flood strategies for formation pressure maintenance depends on the ability of the injected water to displace oil from the rock matrix, rather than flowing directly to producing wells via short circuits through the fracture network. Water flood performance is thus directly controlled by the geometry and properties of fracture network between injection and production wells. These fractures are modeled explicitly in the discrete feature network (DFN) approach (Dershowitz, 1984; Long, 1983).This paper presents simulations and analyses of gel injection for the South Oregon Basin, Wyoming Phosphoria (Embar) formation reservoir (Fig. 1). The South Oregon Basin is an important reservoir, producing over 83 million bbl of oil to date. The South Oregon Basin produces from several units. Phosphoria formation is a major producing unit, and is considered by many as the source rock for the other units.The Phosphoria has been under water flood since the 1960's. The current water injection strategy results in over 95% water cuts and poor oil sweep, with an estimated 80% oil saturation remaining in the rock matrix. It is hoped that gel injection will improve oil sweep while reducing the water cut.Discrete Fracture Network ModelThe Phosphoria formation of the Oregon Basin, also referred to as the Embar, is an interbedded sequence of gray, finely crystalline, vuggy limestone and light bluish gray dolomite from an interval of both Triassic and Permian strata (Walton 1947). The Phosphoria has moderate matrix permeability, but the significant structural deformation to which the reservoir units have been subjected has also resulted in significant fracturing. This fracturing is heterogeneously connected, with some areas exhibiting little fracture percolation while other areas see significant large-scale fracture connectivity. Keywords: water injection, gel penetration, upstream oil & gas, connaghan 13, shuttle, dershowitz, injection, dfn model, hydraulic fracturing, rock matrix Subjects: Hydraulic Fracturing, Improved and Enhanced Recovery, Unconventional and Complex Reservoirs, Waterflooding, Naturally-fractured reservoirs This content is only available via PDF. 2002. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.199
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it