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Record W4231728423 · doi:10.2523/104551-ms

Risk Analysis for Water Injection in a Petroleum Reservoir ConsideringGeomechanical Aspects

2006· article· en· W4231728423 on OpenAlexafffundabout
Luís Rodrigues, Luciane Cunha, José C. Cunha

Bibliographic record

VenueProceedings of SPE Eastern Regional Meeting · 2006
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Alberta
FundersPetrobrasUniversity of Alberta
KeywordsCitationGlauberPetroleumArchaeologyComputer scienceLibrary scienceOperations researchGeologyGeographyEngineeringPaleontology

Abstract

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Risk Analysis for Water Injection in a Petroleum Reservoir Considering Geomechanical Aspects Luis Glauber Rodrigues; Luis Glauber Rodrigues Alberta University Search for other works by this author on: This Site Google Scholar Luciane Bonet Cunha; Luciane Bonet Cunha U. of Alberta Search for other works by this author on: This Site Google Scholar Richard J. Chalaturnyk; Richard J. Chalaturnyk U. of Alberta Search for other works by this author on: This Site Google Scholar Jose C.S. Cunha Jose C.S. Cunha U. of Alberta Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Eastern Regional Meeting, Canton, Ohio, USA, October 2006. Paper Number: SPE-104551-MS https://doi.org/10.2118/104551-MS Published: October 11 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Rodrigues, Luis Glauber, Cunha, Luciane Bonet, Chalaturnyk, Richard J., and Jose C.S. Cunha. "Risk Analysis for Water Injection in a Petroleum Reservoir Considering Geomechanical Aspects." Paper presented at the SPE Eastern Regional Meeting, Canton, Ohio, USA, October 2006. doi: https://doi.org/10.2118/104551-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Eastern Regional Meeting Search Advanced Search AbstractEconomic and risk analysis are important tasks in a petroleum engineering study. This work considers the analysis of the results obtained from a real Brazilian offshore field simulation study in which the decision making process for field development is discussed considering geomechanical aspects. The focus is on the evaluation of uncertainties of geomechanical parameters that may influence the response of a petroleum reservoir submitted to seawater injection for secondary recovery. A decision tree has been built and solved using utility theory and the expected monetary value (EMV) concept. A sensibility analysis for different discount rates and oil prices has been also performed.First, this work identifies if the reservoir is a candidate for a deeper analysis using a matrix approach consisting of important geomechanical parameters. Second, lab stress information is used and the results obtained compared with the traditional reservoir simulation, which considers compressibility invariant with time. Third, a decision tree is constructed and solved. Based on the assumptions chosen for these analyses, it is concluded that coupled reservoirgeomechanics simulations should be applied in order to more precisely forecast reservoir performance.IntroductionThe application of geomechanics to reservoir engineering problems is relative new and is receiving more focus as the oil and gas industry begins to exploit unconventional hyrdrocarbon assets. The relative importance of geomechanics in this context, however, remains a question.In this work, a new methodology is developed which enables, through a comprehensive listing of some major geomechanical parameters, the establishment of the important mechanisms associated with these parameters and a method for assessing their relative importance. This methodology is demonstrated by the use of traditional simulation and geomechanical approach in an economics analysis using a decision tree approach to obtain the critical parameters.The focus for this study is an offshore unconsolidated sandstone reservoir field located in Campos Basin, Brazil. The field has undergone water injection since the beginning of production and was chosen for this study due to strong uncertainties related to project's development. As is typical, the amount of information is incomplete in the initial phase of a project and a sensitivity analysis must be done to justify the acquisition of additional information and to determine whether a simple black-oil model will be sufficient to assist with development decisions.As mentioned by Onaisi et al.1, flood breakthrough leads to local effective stress changes and compressibility or volume changes. The addition of these stress-dependent effects into traditional reservoir simulation parameters (e.g.: porosity, rock compressibility and permeability) show that they can impact reservoir productivity and fault transmissibility. For the Brazilian offshore field, an important issue is the possibility of fluid leaking from the reservoir to the seabed due to flow along existing fault structures. The determination of rock mechanics parameters in unconsolidated sandstones is also an important step to better characterize the rock, providing important inputs for better forecasts.Soares and Ferreira2 noted that in some reservoirs large deformations could occur during oil production. These deformations result from increasing effective stresses as the reservoir fluid pressure declines. As the rock structure changes, it may cause permanent damage to the reservoir lowering the permeability and the final oil recovery.In general, reservoir engineering studies do not take into account the effect of in situ stresses on production. In most cases, the permeability is assumed to remain constant along the oil production. However, for limestone and unconsolidated sandstone, as in the deepwater reservoirs of Campos Basin, Brazil, this assumption is likely not valid and a better understanding of reservoir-geomechanical processes will help optimize the ultimate recovery from these classes of reservoirs.The Field " A"The Field "A" is located southeast of Brazil in a water depth of 1,500m (Figure 1). The real oilfield name and exact position is not revealed due to confidentiality aspects. The reservoir model built to depict the field is shown in Figure 2. Keywords: Modeling & Simulation, Artificial Intelligence, volumetric strain, reservoir geomechanics, Upstream Oil & Gas, compressibility, Reservoir Characterization, reservoir simulation, discount rate, geomechanical parameter Subjects: Reservoir Characterization, Reservoir Simulation, Reservoir geomechanics This content is only available via PDF. 2006. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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How this classification was reachedexpand

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 categoriesnone
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 score0.055
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2006
Admission routes3
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Same venueProceedings of SPE Eastern Regional MeetingSame topicReservoir Engineering and Simulation MethodsFrench-language works237,207