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Record W4323657253 · doi:10.2118/212745-ms

Evaluation of Flow Units and Capillary Pressures of the Giant Chicontepec Tight Oil Paleochannel in Mexico and a Fresh Look at Drilling and Completions

2023· article· en· W4323657253 on OpenAlexaffabout
Alejandra Gutierrez Oseguera, Roberto Aguilera

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPalaeochannelDrillingPetroleum engineeringGeologyOil in placePermianPetroleum reservoirStructural basinTight oilGeochemistryOil shalePaleontologyPetroleumEngineeringFluvial

Abstract

fetched live from OpenAlex

Abstract The Chicontepec Paleochannel is a giant shaly sandstone reservoir(s) with volumes of OOIP ranging between 137 and 59 billion STB (Guzman, 2019), which has been equated recently to the Permian Basin. However, the oil recoveries are very small, ranging between 0.32 to 0.75% of the OOIP. Thus, the objective of this study is to evaluate flow units and capillary pressures of Chicontepec, as well as drilling and completion methods, with a view to improve the characterization of the reservoir(s) and, thus, oil recoveries. Current cumulative oil production of Chicontepec is 440.38 million STB. Although it is a significant volume, it represents a very small percent recovery from the reservoir (0.32 to 0.75% of the OOIP). To help improving recovery, a method is developed for characterizing the tight Chicontepec paleochannel using flow units and capillary pressures. Like in the case of many tight unconventional reservoirs, the capillary pressures can go to very high values, reaching 55,000 psi in the Chicontepec case. Therefore, a special procedure is developed to generate a consistent interpretation of all the available capillary pressure curves for the entire range of pressures. Results highlight the important oil recovery potential of the Chicontepec Paleochannel (Misantla-Tampico Basin), which has been equated recently to the Permian Basin in the United States and has been termed by Guzman (2022) "a premier super-basin in waiting." The assessment is supported by quantitative formation evaluation work performed by Gutierrez Oseguera and Aguilera (2022). Although natural fractures are present, most wells must be hydraulically fractured to achieve commercial success. Process or delivery speed (the ratio of permeability and porosity) for the Chicontepec samples used in the capillary pressure experimental work range between 159.1 md and 0.17 md (porosity in the denominator is a fraction). Flow units show pore throat apertures (rp35) ranging from less than 0.1 microns to about 4.5 microns. These values and flow units compare well with data available for prolific unconventional reservoirs such as the Cardium sandstone in Canada and the giant Permian Basin in the United States. The radius rp35 refers to pore throat aperture at 35% cumulative pore volume. The novelty of this study is the development of a consistent procedure for interpreting the entire range of pressures measured during mercury injection capillary pressures. Such pressures go up to 55,000 psi for the core samples considered in this study. The integration with flow units and formation evaluation suggests that the potential of the Chicontepec unconventional reservoirs can rival successful results obtained in the Cardium sandstone and the Permian Basin. Some ideas are advanced regarding drilling and completion for Chicontepec based on the results of the present study and production success in the Permian Basin.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.225
Teacher spread0.201 · 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 designObservational
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

Citations1
Published2023
Admission routes2
Has abstractyes

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