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Record W2056228497 · doi:10.2118/00-08-02

Economic Considerations for the Design of In-Situ Combustion Projects

2000· article· en· W2056228497 on OpenAlexaffabout
J. Nodwell, R.G. Moore, M.G. Ursenbach, C.J. Laureshen, S. A. Mehta

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2000
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCombustionWork (physics)Environmental scienceIn situEnhanced oil recoverySteam injectionProcess engineeringProcess (computing)Waste managementEngineeringComputer scienceMechanical engineeringChemistry

Abstract

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Abstract Recent technical advances in the understanding of in-situ combustion have made it worthwhile to consider this process as a serious means of recovering heavy oil. However, it must first prove itself to be economically viable, particularly in comparison with steam based recovery processes. This paper examines the factors that are necessary to make in situ combustion work in the field, including the need to ensure operation at high temperatures, optimal well layouts and spacing, and why economies of scale must be used to ensure competitive economics. Based on these requirements, an in-situ combustion process is then compared to a similarly designed steam process and the comparative economics are discussed. The results of this work show that in situ combustion should be laid out in a line drive pattern, based on a 4 ha (10 acres) well spacing. Sufficient air injection capacity must be installed to best ensure high temperature combustion, thus achieving reasonable oil production rates. It is recognized that in-situ combustion has higher front end costs than steam processes, but recovery factors for in-situ combustion can be as much as 60% higher. The cost comparison for a 20 well combustion project and a comparable steam project set in Western Canada yields a per m3 cost of $104.10 for steam and $78.00 for in situ combusiton ($16.55 for steam and $12.40 for in-situ combustion). Introduction As with any investment, the major concern with in-situ combustion (ISC) is the risk and the competitive return, since it is a relatively costly supplementary recovery process. The major economic consideration is risk, as in the past, this complex process has exhibited an uninspiring lack of success. It has been tried in dozens of projects over the past 40 years, but has not accounted for and still does not account for significant heavy oil production anywhere in the world(1). This paper will focus on the fire flooding of heavy oil in Western Canada, where the competing process is steam injection. In hindsight, thanks to research at the University of Calgary and elsewhere, the reasons for this lack of success are understandable. In-situ combustion is far more complex than was originally thought, and it is not intuitive that there would be multiple oxidation reactions with uneven transitions. This dynamic displacement process is highly technical, with low temperature oxidation (LTO), high temperature oxidation (HTO) and gas phase combustion intertwined with complex organic reactions, and it is influenced by temperature and oxygen partial pressure. Also, it is possible to now benefit from the considerable amount of field experience gained on the unsuccessful projects. If properly operated, the process does not produce difficult emulsions nor does it increase oil gravity or viscosity; all problems which have been associated with in situ combustion in Canadian heavy oil. The economic driving force behind in-situ combustion has always been the potential of a higher oil recovery than is possible from other processes. Estimates show that the capital cost of using ISC for an average Canadian heavy oil project is approximately equal to that of a steam based process (dependent, of course, on a number of variables);

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.019
GPT teacher head0.233
Teacher spread0.214 · 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

Citations16
Published2000
Admission routes2
Has abstractyes

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