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Record W3195608812 · doi:10.1306/04122120093

A review of the Bakken petroleum systems in the United States and Canada: Recognizing the importance of the Middle Member play

2021· review· en· W3195608812 on OpenAlexaboutno aff
Catherine Donohue, Craig D. Barrie

Bibliographic record

VenueAAPG Bulletin · 2021
Typereview
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyPetroleumPetroleum systemMining engineeringPaleontologyPetroleum engineeringEnvironmental ethicsSource rock

Abstract

fetched live from OpenAlex

Abstract The Williston Basin has proven to be a global super basin. Initially, development across this basin was dominated by conventional production from the Madison Group and Ordovician oil systems; however, with the development of unconventional play opportunities, the biggest resource in the Williston Basin is now the Middle Member of the Bakken Formation. The Middle Member was not pursued as a reservoir because of its low porosity and permeability, the low thermal maturity of the juxtaposed Bakken shales, low resistivity, and perceived lack of oil saturation. This paper will review how geochemical data were used to challenge and explain those initial assumptions with particular focus on the discovery and development of the Parshall field. Unconventional and hybrid plays are complex systems, and although much of the geochemical focus details organofacies or maturity concerns, numerous other processes including sorption, alteration, mixing, and evaporative fractionation can and commonly will influence the interpretation of the results and therefore must be considered. The geochemical techniques discussed in this paper are used to calculate oil saturation and more appropriately, mobile oil saturation, from core data requiring accounting for oil evaporative losses to fully define the workings of the Bakken petroleum system and the Middle Member as the key reservoir.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.455
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.243
Teacher spread0.206 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2021
Admission routes1
Has abstractyes

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