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Record W2087472812 · doi:10.2118/169031-ms

Modeling Development of a Thermal Gas-Oil Gravity Drainage Process in an Extra-Heavy Oil Fractured Reservoir

2014· article· en· W2087472812 on OpenAlex
E. Niz-Velásquez, S. Reza Bagheri, Johan Jacobus Van Dorp, James W. Jennings

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

VenueSPE Improved Oil Recovery Symposium · 2014
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsPetroleum engineeringSteam-assisted gravity drainageOil sandsAsphaltGeologyUnconventional oilFracture (geology)Permeability (electromagnetism)Environmental scienceFossil fuelGeotechnical engineeringEngineeringMaterials scienceWaste management

Abstract

fetched live from OpenAlex

Abstract Thermal Gas-Oil Gravity Drainage (T-GOGD) is an attractive Enhanced Oil Recovery (EOR) method applicable to naturally-fractured reservoirs (NFR). The process is successfully applied in Qarn Alam, a heavy oil field in Oman. This paper presents a dynamic modeling optimization and uncertainty analysis workflow for T-GOGD in a bitumen-bearing fractured reservoir based on realistic 3D fracture characterization. In T-GOGD, the fractures are displaced to steam to provide a (matrix) gravity drainage potential while heating the reservoir at the same time. One of the recovery mechanisms associated with T-GOGD is thermal expansion, which can result in high initial rates, but may cause plugging of the fracture system in the case of extra-heavy oil (bitumen) if the expanded oil cools down before it is being produced. This situation requires short-distance well configurations and/or steam stimulation cycles to establish communication. In a NFR, steam vapour occupies the fracture system while oil drains through the matrix, increasing the area for heat transfer with respect to the steam chamber case; the process therefore differs significantly from SAGD and a different production function applies. Shell's in-house reservoir simulator MoReS with advanced dual-permeability capability, is used to model development of T-GOGD in a bitumen reservoir employing 3D element-of-symmetry models. A realistic fracture characterization and modeling process is described. The geometrical well configuration and operating schedule and strategy are optimized on an economic function for a deterministic subsurface realization. Using an uncertainty analysis workflow, cumulative distribution functions of recovery and steam-oil ratio are generated. Finally, robust optimization is explored using an economic objective function. The study concludes that 1) relatively large well spacing is feasible while injector-producer horizontal well offset is necessary to avoid steam channeling to the producer well, 2) live steam production control is a robust operating strategy, 3) performance is most sensitive to matrix permeability and oil viscosity, and 4) vertical fracture connectivity plays an important role on the process performance. T-GOGD has significant potential to develop bitumen resource in naturally fractured carbonates.

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 score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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