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Record W4323657635 · doi:10.2118/212780-ms

Evaluation of the First Field Piloting of the THAI Process: Athabasca Pilot

2023· article· en· W4323657635 on OpenAlexaboutno aff
Alex Turta, A.K. Singhal, Ravinder Sierra, M. Greaves, Mohammad Maksimul Islam

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSecondary air injectionIgnition systemProcess (computing)GeologySteam injectionSpontaneous combustionDrillingEnvironmental scienceCombustionPetroleum engineeringMechanical engineeringEngineeringAutomotive engineeringComputer science

Abstract

fetched live from OpenAlex

Objectives/Scope The paper describes the first field piloting of the Toe-To-Heel Air Injection (THAI) process - a novel in-situ combustion (ISC) process, which uses vertical air injectors and horizontal producers. The pilot (located in the Athabasca region of Canada) consisted of three adjacent pairs of vertical-horizontal well arranged in a direct line drive configuration, with a lateral spacing of 100m. Methods, Procedures, Process An in-depth analysis was performed for the determination of the ignition delay during initiation of the ISC via enhanced spontaneous ignition using a steam slug injection. Numerous bottomhole temperatures (BHT) recordings from 11 observation wells allowed to establish the loss of air in an upper formation and the lateral development of the burned zone. Using many thermocouples located along the horizontal section of producers, the determination of the ISC front advancement along the horizontal drains was possible. Based on this, a rough estimate of the volumetric sweep was made. Due to sand influx and other factors, all horizontal producers were replaced; the period of air injection stoppage - during the drilling of replacement producers – caused a substantial modification of the process. Results, Observations, Conclusions Initiation of ISC process by spontaneous ignition occurred within 1-2 months. A robust ISC was generated and sustained during the five-year piloting. Oxygen utilization was almost 100%, indicating a remarkable stability of the process. The lateral development of the burned zone was limited, within 20 m laterally off the horizontal producer trajectory. The ISC front advanced approximately half of the distance toe-heel, along the horizontal section. Loss of air vertically, led to the formation of a secondary ISC front in an upper formation with no production outlets (production wells). This loss of air and the presence of a thin bottom water zone (from which a significant amount of water was produced) decreased the efficiency of the process. During the air injection interruption (3-4 months), a pronounced pressure decline in the burnt-out zone caused its oil re-saturation leading to coke deposition and blockage; subsequent ISC front propagation along the replacement wells was not satisfactory and these wells did not improve the performance. The pilot confirmed the laboratory findings regarding the production of in-situ upgraded oil and, revealed that THAI generates significant amounts of hydrogen as part of the produced gases. Upgrading of the produced oil was in the range of 2° to 8° API., while the oil viscosity decreased 220 times, from 550,000cp to 2500cP The oil recovery from the pilot was estimated at 7%. In its stabilized phase, the effective oil rate per well was 10-20 m3/day, as compared with 3-4 m3/day in all previous old ISC trials in Athabasca. The air-oil ratio was in the range of 5,000 to 6,000 sm3/m3. Novel/Additive Information It is the first time that day-by-day in-situ upgrading is fully validated in the oil field. Therefore, THAI is the first EOR process fully proven for producing underground upgraded oil without using any additional exterior heat sources.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.039
GPT teacher head0.293
Teacher spread0.254 · 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 designObservational
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

Citations7
Published2023
Admission routes1
Has abstractyes

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