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Record W4238433898 · doi:10.2118/2006-189-ea

A Model of a Combined Heat and Power System for SAGD Operations

2006· article· en· W4238433898 on OpenAlexaffabout
B. Bowers, N. Leblanc, S. Jazayeri, A. Naini

Bibliographic record

VenueCanadian International Petroleum Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsCanadian Institute for Energy TrainingCanadian Energy Research Institute
Fundersnot available
KeywordsComputer sciencePower (physics)Petroleum engineeringProcess engineeringEngineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Abstract This paper presents a model of a combined heat and power (CHP) system, also known as cogeneration, for the purpose of analyzing the relationships between electricity generation, steam production, and fuel requirements for the steam assisted gravity drainage process (SAGD) used in bitumen production. The paper provides illustrative examples of assessments of the economics of the CHP process for alternate cogeneration arrangements and input assumptions. The combined heat and power model (CHPM) simulates the operation of a gas turbine - electric generation system with the hot exhaust gases from the turbine being directed to a boiler for steam production for use in SAGD production operations. Alternately, a topping steam turbine - electric generation system with exhaust steam used in SAGD operations is simulated. The model provides estimates of the fuel requirements and electricity generated by the combined process. Illustrative examples of the application of the model provided in the paper include the use of alternate fuels, natural gas and petroleum coke, for the combined production of electricity and bitumen. Introduction Bitumen mining and in situ extraction operations of Alberta are large users of natural gas and are projected to grow substantially over the next decade. However, since the turn of the century, the North American natural gas supply-demand balance has tightened and consequently gas market prices have risen substantially. Consequently, the Canadian Energy Research Institute (CERI) is examining alternate systems and fuels to reduce the cost of steam production for these operations. The Combined Heat and Power Model (CHPM) described in this paper was developed specifically for the economic assessment of combined heat and power (CHP) systems for bitumen extraction by the steam assisted gravity drainage (SAGD) process. It calculates the fuel requirements and electricity generation rates for SAGD operations, which are required for an economic assessment of the operations. The economic analysis is performed in a separate model, the SAGD Supply Cost Model (SSCM), which calculates the supply cost of the extracted bitumen. Description of the CHPM The CHPM simulates the operation of the steam plant of a SAGD operation, both with and without electricity generation. Gas and steam turbine options for the generation of electricity are included (See Figures 1 and 2 respectively). As shown in the figures, mass and heat energy flows of the system are outputs of the model. The principles of conservation of energy and mass are used for the calculation of the flows. For the gas turbine option, Figure 1 shows that natural gas fuel is burned in a gas turbine to produce electricity. Waste heat in the exhaust gases from the turbine is recovered in a boiler, which produces steam for the bitumen extraction process. There is a steam-water separator, which produces 100% quality steam for the extraction process. Water from the separator is returned to the boiler. There is a process unit for the treatment of feed water and an option to return hot water produced by the bitumen extraction operations to this unit for recovery of heat in this stream.

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 score0.327
Threshold uncertainty score0.976

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 head0.010
GPT teacher head0.190
Teacher spread0.180 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

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