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Record W2896028875 · doi:10.2118/191444-18ihft-ms

Shining a Light on the Formation Damage Bogeyman: A Case Study of Low Loadfluid Recovery and Enhanced Hydrocarbon Production in the Tight Gas Montney Formation of Western Canada

2018· article· en· W2896028875 on OpenAlexaboutno aff
J. Jensen, Robert Hawkes, Jean‐Paul Behr, Harvey Quintero

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum engineeringImbibitionHydraulic fracturingFormation waterTight gasCapillary actionWellboreProduced waterGeologyGeotechnical engineeringMaterials science

Abstract

fetched live from OpenAlex

Abstract The current practice of pumping large volumes of low salinity slick water in hydraulic fracture stimulation treatments in Canadian oil and gas shales and ultra-tight formations has proven extremely beneficial. These zones, however, are typically considered to have sub-irreducible water saturations. Nevertheless, water treatment volumes of 10,000 – 20,000 m3 per well are routinely performed. Conventional thinking would expect reduced hydrocarbon production due to formation damage or water block. Cleanup efficiencies of these massive water volumes during flowback is driven by the desire to minimize fluid invasion into the matrix. Water (load fluid) cleanup is essentially driven by viscous forces to counteract the capillary forces in the mix-wettability pore network. Operational and seasonal restrictions at times prevent wells being tied into pipelines immediately to continue the load fluid clean-up process. Once wells are placed back on production however, positive and dynamic fluid changes are observed. Conventional thinking suggests that once the invaded water zone saturation reduces to irreducible levels during flowback (cleanup operations), hydrocarbon can then freely flow into the wellbore. However, the flowback behavior in unconventional reservoirs is quite different than conventional reservoirs where soakback and slowback techniques are implemented. These wells can undergo weeks or even months of shut-in following the hydraulic fracturing treatment. It is believed that extended shut-in periods promote the counter-current imbibition phenomena, where the residual hydraulic fracturing fluid can imbibe deeper in the formation matrix driven by osmotic and capillary forces. This paper demonstrates the true benefit of multi-functionalized surfactant (MFS) with formations of mixed-wettability characteristics using both lab and field tests. Amott Cell results, a test for spontaneous imbibition using various stimulation fluid types, demonstrated MFS significantly outperformed common surfactant chemistry when tested on mixed wettability core samples.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.210
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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