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Record W4379517758 · doi:10.2118/213159-ms

Reservoir Simulation of Primary and Enhanced Oil Recovery by Huff and Puff Gas Injection, and CO2 Storage in La Luna Shale of Colombia

2023· article· en· W4379517758 on OpenAlexaffabout
C. Herrera Tellez, A. Fragoso, Roberto Aguilera

Bibliographic record

VenueSPE Latin American and Caribbean Petroleum Engineering Conference · 2023
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOil shalePetroleum engineeringContainment (computer programming)GeologyShale oilNatural gasShale gasEnhanced oil recoveryVolume (thermodynamics)Waste managementEngineeringPaleontology

Abstract

fetched live from OpenAlex

Abstract La Luna Shale in Colombia has significant oil and gas potential in the Middle Magdalena Valley and Catatumbo Basins that can be developed with the use of hydraulically fractured horizontal wells. This potential, however, has not been fully evaluated. Thus, this paper concentrates on estimating La Luna's primary and enhanced oil recovery, as well as the potential for CO2 storage with the use of reservoir simulation. Simulation of enhanced oil recovery is conducted in this study using CH4 and CO2 as injected gases during huff and puff (huff ‘n’ puff) operations. Simultaneously, the study simulates the viability of using La Luna Shale as a safe place for storing CO2 with negligible possibilities of unwanted leaks. The selection of La Luna Shale for this purpose stems from the observation of geologic containment in La Luna. Geologic containment is a concept developed by our research group at the University of Calgary. Our study concludes that geologic containment occurs in La Luna Shale, where natural gas, condensate and oil are upside down or in an inverted position in the structure. The paper demonstrates that if the hydrocarbons remain in the same position where they were generated, then the possibilities that the injected gases will leak beyond the volume that is hydraulically fractured are nil. Simulation results reveal that primary recovery from La Luna Shale for the investigated areas range between 23 to 25%. These recoveries are much larger than those reported for the Eagle Ford Shale of Texas, which range between 5 and 10%. Higher quality of La Luna shale is associated with these significant recoveries, which are supported by production data from La Luna and Eagle Ford shales. Simulation results show that these recoveries can be improved by huff ‘n’ puff gas CO2 injection. The simulation further shows that during successive cycles of huff ‘n’ puff with CO2, the volume of CO2 retained in La Luna is progressively larger. Once huff ‘n’ puff reaches its economic limit, CO2 can be injected continuously until reaching a maximum pressure equal to the initial reservoir pressure. CO2 injected is thus stored safely and permanently in La Luna Shale. The novelty of the paper is demonstrating that geologic containment exists in La Luna Shale in both the Middle Magdalena Valley and Catatumbo basins of Colombia. Under these conditions, and given the quality of La Luna Shale, reservoir simulation shows that La Luna primary oil recoveries can be significant and can be improved by huff ‘n’ puff CO2 injection. Furthermore, the advantage of using CO2 is that it can be stored safely and permanently with negligible possibilities of unwanted leaks. Thus, La Luna shale can contribute with two important segments of CCUS: (1) Utilization of CO2 for Enhanced Oil Recovery (EOR) and (2) Storage of CO2 as shown in this paper. The segment associated with Capture of CO2 can be accomplished from refineries and large industrial complexes. This, however, is beyond the purpose of the present study.

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 score0.046
Threshold uncertainty score0.973

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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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