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Record W2012094391 · doi:10.2118/146443-ms

A Practical Numerical Model to Optimize the Productivity of Multistage Fractured Horizontal Wells in the Cardium Tight Oil Resource

2011· article· en· W2012094391 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

VenueCanadian Unconventional Resources Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsPenn West Exploration (Canada)
Fundersnot available
KeywordsPetroleum engineeringTight oilFracture (geology)GeologyCompletion (oil and gas wells)Directional drillingDrainageTight gasProductivityOil in placeStage (stratigraphy)Resource (disambiguation)Geotechnical engineeringPetroleumDrillingHydraulic fracturingComputer scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract The technology to multi-stage fracture horizontal wells has opened up development of tight hydrocarbon resources world wide. One such resource in Canada is the Cardium Formation which extends over 3.5 million acres and has an estimated OOIP of over 10 billion barrels. The new technology has allowed accessing these tight resources which were previously uneconomic to develop with vertical wells. For the Cardium it is particularly true for the halo (or periphery) where reservoir quality was insufficient for economic depletion with vertical wells. This paper demonstrates an efficient model and methodology to optimize multi-stage fractured horizontal wells and provides production forecasts. A quarter of a fracture numerical simulation method (Quarter-Frac Model) with multi-phase and multi-dimensional characteristics is utilized in this paper to simulate the fluid flow from the repetitive drainage element in a full field development. The model uses an accurate description of the reservoir in terms of geology, fluid characteristics, and pressure profile. The overall performance of the multi-stage fractured horizontal well is determined by a range of completion variables that include well spacing, fracture spacing, fracture dimensions and characteristics, and placement of first and last fracture. The simulations are carried out for a range of completion and development variables. The results are then translated into the performance of the whole horizontal well. The optimum completion and development scenario depends on economic considerations. It is realized that the first and last fractures (toe and heel) will have different drainage areas compared to those of the inside fractures. This is demonstrated by comparing the Quarter-Frac Model to an All-Frac Model simulating an actual horizontal well length with multiple fractures simulated with local grid refinement. A penetration ratio is introduced that describes the effect of placing fractures nearer to the section boundaries. The quarter-fracture model is shown to be efficient and provides reservoir engineers with a practical and accurate tool to design and optimize multi-stage fractured horizontal wells. The quarter-fracture model has applications for primary and secondary recovery. Simulation results for the Cardium Formation have shown rapid pressure decline with primary depletion in full field development. An improvement in recovery can be achieved with pressure maintenance. Some preliminary simulation results are provided that show the effect of water injection which will be piloted in the field to demonstrate the feasibility.

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 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 score0.257
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.037
GPT teacher head0.239
Teacher spread0.201 · 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