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Record W2047469174 · doi:10.2118/149962-ms

Near Wellbore Streamline Modeling: Its Novelty, Application, and Potential Use

2012· article· en· W2047469174 on OpenAlex
J. H. Skinner, Thormod E. Johansen

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSPE International Symposium and Exhibition on Formation Damage Control · 2012
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaResearch and Development Corporation of Newfoundland and Labrador
KeywordsPermeability (electromagnetism)WellborePerforationMechanicsGeologyPetroleum engineeringRelative permeabilityBoreholeGeotechnical engineeringPorosityEngineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract Over the last 25 years streamline modeling has proven to be a valuable technique within the field of reservoir engineering, primarily with respect to heterogeneous reservoirs undergoing convection dominated flows. To date, most applications have been performed on a full field level. In this research, streamline modeling is applied to individual wells on a near wellbore scale. The stability of the technique is achieved via first principle modeling using a time of flight algorithm in cylindrical geometry utilizing logarithmic grid refinement. The modeling technique allows for an understanding of how near wellbore heterogeneities affect flow distribution and production. The model is expanded to evaluate various completion strategies, including a cased and perforated well with associated perforation and formation damage, as well as an open-hole completion with partial filter cake build-up. To analyze the models, response surface methodologies are utilized. With respect to a cased and perforated well, the most statistically influential factors on both flow rate and skin are perforation permeability, number of perforations, damage zone permeability, damage zone radius, and perforation length, respectively. Various interactions are also significant, including perforation permeability with perforation length and damage zone permeability with damage zone radius. In relation to partial filter cake removal in anopen-hole completion, only the area/angle of coverage has a significant effect on the productivity of a well. The model contains numerous simplifying assumptions, including single phase incompressible flow in two dimensions for heterogeneous medium. Nevertheless, it has proven to provide stable and reliable results. Although implemented in two dimensions, the techniqueremains very useful in evaluating completion strategies and overall effectiveness, thereby offering significant potential to increase industry profitability. It is emphasized that an extension to three dimensional problems is straightforward since the third dimension is linear along the well trajectory. Further research incorporating the works of streamline modeling in Cartesian geometries will lead to a reduction in the simplifying assumptions, allowing for compressible multiphase flow and the inclusion of gravitational effects.

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 score0.565
Threshold uncertainty score0.678

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 communication0.0000.001
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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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