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Record W2000661392 · doi:10.2118/2008-209

Electro-Thermal Pilot in the Athabasca Oil Sands: Theory Versus Performance

2008· article· en· W2000661392 on OpenAlexaboutno aff
Bruce C. W. McGee

Bibliographic record

VenueCanadian International Petroleum Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsOil sandsThermalPetroleum engineeringEnvironmental scienceMaterials scienceGeologyAsphaltThermodynamicsPhysicsComposite material

Abstract

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Abstract From September 2006 to a August 2007, a proof of concept test of ET-DSP ™ (Electro-Thermal Dynamic Stripping Process) was completed by E-T Energy Ltd. A numerical simulation study was done prior to the field test to quantify performance metrics, such as the amount of water usage per m3 of produced oil, the energy input requirements, kW-hr/m3 of oil (i.e. an equivalent Steam Oil Ratio value), green house gas emissions, drilling performance, operating costs, and process facility design. Field performance met or exceeded expectations. The recovery factor was greater than 75%, the energy requirement per m3 of oil produced was 23% less than calculated and peak production rates were greater than expected. The water oil ratio was one with no green house gas emissions in heating the oil. An insignificant volume of sand was produced and the oil recovered had very little to no emulsions. A comparison of the data with theory reveals that not all the drive mechanisms were considered in the initial numerical simulation. One of the more significant is the contribution of associated gas. Albeit in relatively small amounts, the gas evolving from the bitumen with rising temperature displaced the bitumen from the pore volume and accelerated recovery from the production wells. Introduction Electrical-thermal heating of the Alberta oil sands has been studied since the early 1970's [1],[2],[7],[6],[8],[4]. Heat is created in the bitumen reservoir as electrical current passes through the connate water as depicted in Figure 1. At low frequency, the reservoir behaves like a resistor, and the conversion of electrical energy to heat is by ohmic losses. This paper compares data from a pilot test of the Electro- Thermal Dynamic Stripping Process, ET-DSP ™ process [4] with numerical simulation (details are published in reference [5]. Construction and operations of the test was carried out from September 2006 to August 2007. The objectives of the proof of concept are to:Determine the percent Recovery Factor, Ro,Establish the Energy Oil Ratio (EOR), i.e., the kWh/bbl of produced bitumen.Determine the water consumption on a per barrel of produced bitumen, Water Oil Ratio m3/m3, (WOR),Confirm numerical simulation temperature predictions, AndDevelop equipment and facility design basis, well completions, operating procedures, and economic parameters for commercial development. Table 1 summarizes the comparison between numerical model predictions and results from the pilot test. The recovery factor achieved in the proof of concept was within the model prediction. The energy consumption was less than the model predicted by 23%. Converting the energy in terms of an equivalent Steam Oil Ratio, SORe = 0.49, or a Net Energy Ratio (NER) of 30 times more energy produced in the bitumen than used to produce it. The ratio of water used per produced barrel of bitumen was predicted to be one; slightly less than one was achieved in the proof of concept. A comparison of the modeled and actual temperature response at observation well (OB05) is shown in Figure 2. OB05 is located approximately mid way between the electrode wells.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.989
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.212
Teacher spread0.191 · 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 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

Citations27
Published2008
Admission routes1
Has abstractyes

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