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Record W2027825890 · doi:10.2118/158258-ms

Stability of In Situ Combustion Process to the Air Injection Stoppage

2012· article· en· W2027825890 on OpenAlexaffabout
Alex Turta

Bibliographic record

VenueSPE Heavy Oil Conference Canada · 2012
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsAlberta Innovates
Fundersnot available
KeywordsProcess (computing)CombustionEnvironmental scienceWaste managementProcess engineeringEngineeringComputer scienceChemistryOperating system

Abstract

fetched live from OpenAlex

Abstract Unlike steam injection for heavy oil recovery, in situ combustion (ISC) process requires an extra-step, namely initiation of the process, the so called ignition operation. During ignition, an ISC front is generated near the air injection well and, thereafter, this front is propagated towards production wells. Air injection interruptions can be un-intentional or intentional, including one-day-per-month scheduled interruptions for cleaning oil from air lines exiting the compressors. Regarding air injection interruptions a question arises: can the process be resumed without initiating a new ignition operation? The paper attempts to provide clear answers to this question. The paper reviews information on more than 6 cases of air injection stoppage in the field, involving well instrumented dry ISC projects, conducted either in patterns or in a line drive system. Most of the cases are from Suplacu de Barcau (Romania) project, which is the world’s biggest ISC commercial project. The duration of air injection interruptions ranged from a few hours to 36 days. Performance before and after interruptions are analyzed in terms of changes in air injectivity, effluent gas composition and oil production. To support various field observations, essential results from simulation of the dry ISC process are also included; Temperature distributions during air injection stoppage were determined analytically for a linear system and numerically, for a radial system. In both cases a specific characteristic of the temperature re-distribution was noted, namely the move/shift of the peak temperature inside the former burned out zone. Some additional conclusions regarding the stability of the process as function of elapsed time since the initiation of the process were also formulated. Stability of the process was investigated for air injection interruptions of up to 90 days. Finally, a case is presented involving a pressure cycling ISC process; stability performance of the Morgan ISC project (Alberta, Canada) during its 6-year field piloting is discussed. In this project, interruptions of air injection of up to 21 months occurred. Inherent limitations in evaluating the stability performance are reviewed given the very complicated nature of this dry ISC process in which reservoir pressure was cyclically increased and oil was allowed to flow through the burned out zones during the air injection

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.666

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 head0.248
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

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 designBench or experimental
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

Citations3
Published2012
Admission routes2
Has abstractyes

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