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Record W4255454756 · doi:10.2523/65525-ms

Optimization Methodology for Cyclic Steam Injection With Horizontal Wells

2000· article· en· W4255454756 on OpenAlex

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

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsCitationLibrary scienceComputer scienceDownloadInformation retrievalWorld Wide Web

Abstract

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Optimization Methodology for Cyclic Steam Injection With Horizontal Wells E. Escobar; E. Escobar PDVSA INTEVEP Search for other works by this author on: This Site Google Scholar P. Valko; P. Valko Texas A&M Search for other works by this author on: This Site Google Scholar W.J. Lee; W.J. Lee Texas A&M Search for other works by this author on: This Site Google Scholar M.G. Rodriguez M.G. Rodriguez PDVSA E&P Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. Paper Number: SPE-65525-MS https://doi.org/10.2118/65525-MS Published: November 06 2000 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Escobar, E., Valko, P., Lee, W.J., and M.G. Rodriguez. "Optimization Methodology for Cyclic Steam Injection With Horizontal Wells." Paper presented at the SPE/CIM International Conference on Horizontal Well Technology, Calgary, Alberta, Canada, November 2000. doi: https://doi.org/10.2118/65525-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE/CIM International Conference on Horizontal Well Technology Search Advanced Search AbstractHorizontal wells are becoming a very important component in the thermal recovery of heavy oil reservoirs. The success of a cyclic steam injection project depends strongly on the selection of key parameters, such as cycle length and amount of steam injected. The numerical simulation of horizontal wells, especially under non-isothermal conditions, is computationally demanding. When optimization is combined with numerical simulation, the computing time requirement may be prohibitive and it is not guaranteed that the optimal conditions will be found.In this research, a new methodology has been developed for optimizing the cyclic steam injection process for vertical and horizontal wells. The procedure integrates oil production characterization using numerical simulation, net present value maximization through a Quasi-Newton method, and model validation/tuning. The three-stage procedure provides the optimum number and/or duration of cycles, the optimal amounts of steam to be injected in each cycle and the optimal value of the overall economic indicator.The optimization algorithm was successfully validated with published results obtained from the discrete maximum principle. The methodology was then applied to determine the optimal conditions of cyclic steam injection for a horizontal well located in Bachaquero field, Venezuela.IntroductionThermal stimulation of heavy-oil producing wells by cyclic steam injection has received attention since the early 1960's. Currently, steam stimulation is being applied on a commercial scale, particularly in Venezuela, California and Canada.With the arrival of horizontal well technology, the production from heavy and extra heavy oil reservoirs has been considerably improved. One of the prospective areas for using horizontal wells is thermal recovery using steam.Horizontal wells represent an indispensable technology for the production of bitumen or extra heavy oil formations. Process like SAGD, HASD drive, and Vapex have been specially designed using horizontal wells for recovery of oil that is immobile at original reservoir conditions. Today, these processes represent the most feasible alternatives to produce relatively deep bitumen formations.For conventional heavy oil reservoirs, the selection of horizontal wells is not a simple issue. Horizontal wells have been successfully applied in areas where gas and/or water conning is the major problem. However, factors such as vertical and horizontal permeability anisotropy, reservoir thickness, and sand production have strong influence in the production performance of this type of well. Under specific reservoir scenarios, the use of horizontal wells does not always represent the best alternative.In thermal oil recovery like cyclic steam injection and steam drive, horizontal wells have notable advantages over vertical wells such as better heat distribution and lateral transportation of fluids. In addition, the number of wells necessary to produce a pattern decreases in reservoirs with close well spacing. Nevertheless, the success of the steam injection process strongly depends on ensuring a uniform placement of the steam along the total well length.Success in the combination of cyclic steam injection with horizontal wells will depend upon an appropriate technical and economic design. To the best of our knowledge, no optimization methodology has been developed to support design decisions about thermal stimulation of horizontal wells. Among the complications associated with this task are the lack of long field experience under a wide range of conditions, and lack of an analytical solution to predict the oil recovery from a thermally stimulated horizontal well. Keywords: steam injection, production rate, upstream oil & gas, horizontal well, sagd, artificial intelligence, optimization methodology, thermal method, reservoir, production time Subjects: Improved and Enhanced Recovery, Thermal methods This content is only available via PDF. 2000. SPE/PS-CIM International Conference on Horizontal Well Technology You can access this article if you purchase or spend a download.

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.045
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.274
Teacher spread0.247 · 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