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Record W2077478959 · doi:10.2118/149468-ms

Evaluating the Impact of Wellbore Azimuth in the Marcellus Shale

2011· article· en· W2077478959 on OpenAlex
Christopher Zinn, David R. Blood, Phillip Morath

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.

Bibliographic record

VenueSPE Eastern Regional Meeting · 2011
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsPQ Corporation (Canada)
Fundersnot available
KeywordsAzimuthProductivityDirectional drillingPetroleum engineeringGeologyWellboreHydraulic fracturingOil shaleDrillingBoreholeMining engineeringMathematicsEngineeringGeotechnical engineeringGeometryMechanical engineering

Abstract

fetched live from OpenAlex

Abstract It is common industry knowledge that horizontal shale gas development is enhanced by drilling in the orientation parallel to the local minimum principal horizontal stress such that the induced hydraulic fractures grow parallel to the maximum horizontal stress during completion. Given the incongruous nature of mineral leases in the Marcellus Shale play, operators often drill in orientations that are sub parallel to this preferred azimuth in the interest of saturating acreage positions. What remains unknown is the degree to which this deviation from the preferred azimuth affects treatment pressures and/or more importantly well productivity. This case study will incorporate proprietary and public data in order to relate Marcellus well productivity to deviation from preferred horizontal well azimuth. In the effort to assess the impact horizontal wellbore azimuth bears on completions and well productivity, the productivity of wells in EQT’s core development areas has been correlated with the well’s deviation from minimum horizontal principal stress as determined from the analysis of over 25 image logs and cores across Pennsylvania and West Virginia. Furthermore, over 500 public domain wells released from the PA DEP and WV Geological Survey have been parsed and normalized to determine whether or not similar correlations can be made. The conclusions drawn from this study will determine if productivity is related to preferred wellbore azimuth and the regional variability of the relationship. Technical, logistical, and economic analysis will be applied to conclusions. This study has drawn some value from initial Marcellus public datasets that, while statistically significant in size, often lack in detail. The shortcomings of this large dataset will be normalized by the detailed datasets acquired from EQT’s core development areas. The ability to relate deviation from preferred wellbore azimuth to productivity will allow EQT and other operators to develop acreage more efficiently and optimize capital allocation.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.074
GPT teacher head0.310
Teacher spread0.236 · 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