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Record W6903281650 · doi:10.11575/prism/25748

Drill Cuttings, Petrophysical, and Geomechanical Models for Evaluation of Conventional and Unconventional Petroleum Reservoirs

2013· other· en· W6903281650 on OpenAlexfundaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2013
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaAlberta InnovatesConocoPhillips
KeywordsPorosityPermeability (electromagnetism)DrillPetroleum reservoirMatrix (chemical analysis)Effective porosityDrill pipeDrill cuttingsSaturation (graph theory)

Abstract

fetched live from OpenAlex

This thesis concentrates on some of the aspects of a ‘Total Petroleum System’ including natural gas and oil stored in conventional and unconventional reservoirs. The original contributions of this thesis include: 1) The use of electromagnetic mixing rules for construction of dual and triple porosity models with a view to quantifying matrix, fracture and non-effective porosity and the porosity exponent (m) of naturally fractured reservoirs. 2) The use of electromagnetic mixing rules for construction of dual and triple porosity models with a view to quantify the water saturation exponent (n) and to estimate the wettability of reservoir rocks in naturally fractured reservoirs. 3) Measurements of porosity and permeability in drill cuttings collected directly in a horizontal well. Although these measurements have been carried out previously in drill cuttings collected in vertical and deviated wells, this is the first time that they are performed in horizontal well drill cuttings. The models developed in Items 1 and 2 are compared successfully against core laboratory data. Water and/or oil stored in each of the porous media considered in the models, affects rock wettability and consequently the values of n. Robustness of the models is important because, in practice, while logging a well in a naturally fractured reservoir, the tool will probably go through some intervals with only matrix porosity; some intervals with matrix porosity and fractures, some with matrix porosity and isolated porosity; and some intervals with matrix, fractures and non-connected porosities. As there are variations in the contribution of each porosity system with depth, there are also variations in m with depth that have to be taken into account. The laboratory measurements of porosity and permeability from drill cuttings mentioned above in Item 3 were conducted at the University of Calgary. Based on a thorough review of literature this is the first time that this measurements are conducted in drill cuttings samples collected in horizontal wells. Starting with only drill cuttings measurements of porosity and permeability, the methodology developed in this thesis allows for complete formation evaluation and geomechanical analysis through the use of a successive approach for determination of several parameters of interest including pore throat aperture radius (rp35), water saturation, porosity exponent (m), true formation resistivity, capillary pressure, Knudsen number, depth to the water contact (if present), construction of Pickett plots, Young’s Modulus, Poisson’s ratio and brittleness index throughout the horizontal length of the well, and for locating the best hydraulic fracture initiation points during multi-stage fracturing jobs. It is concluded that the use of electromagnetic mixing rules and drill cuttings provide a valuable and practical addition for quantitative characterization of conventional and unconventional petroleum reservoirs.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.235
Teacher spread0.213 · 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 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

Citations0
Published2013
Admission routes2
Has abstractyes

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