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Record W2049059057 · doi:10.2118/168264-ms

Cut & Cap Process for Surface Casing Vent Flow Repair and Prevention

2014· article· en· W2049059057 on OpenAlexaboutno aff
Djillali Sahnoun, Jason Schneider, Chuck Sylvestre

Bibliographic record

VenueSPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition · 2014
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCasingPetroleum engineeringOil wellAbandonment (legal)Annulus (botany)Petroleum industryCompletion (oil and gas wells)WorkoverFossil fuelDrillingEngineeringBoreholeForensic engineeringMining engineeringGeologyMechanical engineeringGeotechnical engineeringWaste managementMaterials scienceEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract Thousands of new wells are being drilled each year while thousands more are being repaired or abandoned around the world. Remedial and well abandonment work is becoming increasingly important for both E&P companies and energy service companies providers as the oil and gas industry continues to recognize the financial and environmental impact, while at the same time, authorities are tightening regulations. Traditional abandonment and squeeze methods have not changed much over the past several decades which has resulted in little or no improvement on the successful repair and abandonment of wells. While improvements have been suggested and trialed, remedial work is viewed as a cost burden, and companies tend to avoid it rather than to address it, which often leads to problems occurring or reoccurring in the future. However, in Western Canada one particular technique has been successfully developed. Although not a new technology, abrasive jetting has proven to be one successful component in well repair operations in many parts of Alberta. Abrasive jetting was primarily developed for wells presenting surface casing vent flow (SCVF) problems. According to the Alberta Energy Regulators (AER), approximately one in 20 oil and gas wells in Alberta experience gas migration to surface through one of the following issues: a cemented casing string(s) with either a micro-annulus between casing and cement, a channel within the cement sheath, or a channel between the cement and the borehole wall. To remediate these possible gas migration passages, the abrasive jetting technique is used first to radially cut the casing, the cement sheath, and the formation in the horizontal plane utilizing a high-pressure sand/liquid mixture. Cutting in this manner provides full radial exposure and increases the chances of intercepting the gas flow passage.The next step is to determine the formation feed rate. Once the feed rate is determined, the proper product can be selected along with the placement technique. Micro-fine cement with slow-rate pumping is often used in the squeeze process to seal off the channels. This process is highly effective in terminating gas migration (GM) or SCVF and reducing remedial costs, saving E&P companies thousands of dollars in rig time and material costs, and adding significant value for the client.

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 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: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.933

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 head0.020
GPT teacher head0.255
Teacher spread0.235 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2014
Admission routes1
Has abstractyes

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