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Record W2114374540 · doi:10.2118/168594-ms

Calibration of Well Logs with Mini-Frac Data for Estimating the Minimum Horizontal Stress in the Tight Gas Monteith Formation of the Western Canada Sedimentary Basin: A Case Study

2014· article· en· W2114374540 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSPE Hydraulic Fracturing Technology Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersAlberta InnovatesUniversity of CalgaryConocoPhillips
KeywordsBiot numberGeologyStress (linguistics)CalibrationConstant (computer programming)Work (physics)Hydraulic fracturingPetroleum engineeringMathematicsMechanicsEngineeringComputer scienceStatisticsPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

Abstract The determination of the minimum horizontal in-situ stress is one of the most important aspects in the characterization of geomechanical behavior of petroleum reservoirs, since a good knowledge of such stress is critical in many activities of practical importance, including design of hydraulic fracturing treatments and estimation of the distribution of minimum horizontal stresses for reservoir simulation purposes. The main objective of the study is to calibrate well logs with available mini-frac data for estimating the minimum horizontal stress in the tight gas Monteith formation, Nikanassin Group of the Western Canada Sedimentary Basin (WCSB). For deep formations like Monteith, the minimum stress is generally horizontal. Thus, the focus of this research is the minimum horizontal stress of the Monteith formation. First, actual values of the minimum horizontal stress at different well locations are acquired from the analysis of surface pressure data during mini-frac treatments. Next, the estimates calculated from an existing correlation and from actual mini-frac data are matched for calibration purposes. Finally, Biot's constant values are determined in order to generate a correlation applicable to the Monteith formation. Vertical Biot's constants ranging between 0.1 and 0.2 are obtained in this study. Horizontal Biot's constant is assumed to be equal to 1.0. Three vertical wells located in the same township with available compressional and shear sonic logs and mini-frac data are selected for this work. Five additional wells in the same general area are selected to assist in the analysis. The Monteith was hydraulically fractured in isolation in these wells. This aspect is important because there are many commingled completions in the area from which selective Monteith data are not available. It is concluded that assuming a vertical Biot's constant equal to 1.0 is not appropriate for the Monteith formation in the study area. The procedure presented in this paper is robust and has the potential to help obtaining more reliable values in other tight formations around the world.

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.

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 score0.354
Threshold uncertainty score0.886

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 science0.0010.000
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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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