MétaCan
Menu
Back to cohort
Record W2044676106 · doi:10.2118/170145-ms

Wellbore modeling and design of Nozzle-Based Inflow Control Device (ICD) for SAGD wells

2014· article· en· W2044676106 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSPE Heavy Oil Conference-Canada · 2014
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsDevon Energy (Canada)
Fundersnot available
KeywordsPetroleum engineeringInflowNozzleWellboreSteam-assisted gravity drainageAsphaltWell controlPressure dropCompletion (oil and gas wells)Pressure controlReservoir simulationEngineeringGeologyMechanical engineeringOil sandsDrillingMaterials science

Abstract

fetched live from OpenAlex

Abstract Production of bitumen from heavy oil reservoirs is a complex process due to high oil viscosity and heterogeneity of reservoirs. Steam assisted gravity drainage (SAGD) process have been applied to Western Canadian bitumen reservoirs as a feasible and technically effective process to produce heavy oil and bitumen. Considering cost associated with SAGD process and complexity involved in this recovery method, it is vital to optimize design and operation of SAGD to achieve the maximum return. Horizontal wells have become an indispensable component of SAGD process. Therefore, optimizing and improving their design will have significant impact on SAGD recovery method. Despite the fact that horizontal wells improve reservoir access, they suffer from high frictional pressure loss due to their long lengths. In addition, combination of limited control points on horizontal wells (toe and heal) and reservoir quality variation along the well and in the reservoir, poses significant challenges in well control and production optimization. One solution for such issues is the use of Inflow control devices (ICD). ICD's equalize and balance the pressure drop in the wellbore by shortening the flow paths, choking back the steam, and changing pressure potential to velocity potential and provide us with better well control. In this paper, a SAGD well pair with eccentric dual tubing completion is numerically modeled. The numerical modeling consists of a history matching step that is followed by five years of production forecast. The base case is compared with several scenarios with nozzle ICD's installed on the producer well. The simulation cases with ICD include different nozzle sizes and various compartmentalization schemes along the wellbore. The results show how ICD's can improve well performance and increase efficiency of the SAGD process. With the sensitivity analysis done using numerical simulation results, the optimum number of ICD's and nozzle size is proposed based on several screening criteria such as low SOR, steam chamber uniformity, high steam chamber temperature, low subcool, and low steam production. This study reveals the advantages of ICD-equipped wells over the conventional dual-tubing and slotted liner completions for SAGD operation. The improved well performance, increased bitumen production, and longevity of the wells will compensate for additional cost of ICD installation in a short period of time.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.907

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 head0.030
GPT teacher head0.234
Teacher spread0.204 · 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