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Record W4312764348 · doi:10.56952/arma-2022-2178

Experimental Study for the Validation of Drilling Optimization Model for Improved Performance in Hard Rock Formations

2022· article· en· W4312764348 on OpenAlexaff
Ajesh Sanjay Trivedi, J. De La Fuente Valadez, Shanti Swaroop Kandala, A. Mai, Roman Shor, A. Vetsak

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDrillingHammerRate of penetrationGeothermal gradientPetroleum engineeringImpact craterMeasurement while drillingGeologyDrilling fluidComputer scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

ABSTRACT: Lower Rate of Penetration (ROP) is one of the key challenges while drilling through deeper hard rock formations to access geothermal reservoirs in an advanced geothermal system (AGS). Rotary percussive drilling (RPD) becomes crucial for such systems in increasing ROP. The transferability of hammer drilling operations in deeper and harder rock formations, the mechanisms behind the improved drilling performance, and a nuanced understanding of the drilling dynamics of the method remains to be a critical challenge for a full-scale application of RPD in advanced geothermal systems. This study addresses these challenges through experimental validation of a developed bit performance index (BPI) model. The BPI model was developed using a reward function, the outcome is either rewarded or penalized. The concept of reward function usually exists in optimization and machine learning models. Using the combination of bit geometry, RPM, and hammer frequency, the function predicts optimum drilling dynamic parameters to maximize the ROP under given conditions. A series of experiments, limited to atmospheric pressure and ambient confining stress, were conducted using state-of-the-art hammer drop equipment developed in the laboratory to validate BPI, using dome-shaped diamond percussion inserts on granite rock samples. Efficiency estimates and volume removed by impacting the rock surface at different locations while moving away from the center of the crater were determined through these experiments. The results followed the BPI model – maximum efficiency and volume removal at the edge of the crater as compared with impacts at the center and center-edge. This study provides a novel approach to the characterization of drilling performance using RPD and gives a pathway for improved drilling performance through optimization of drillstring dynamics in deeper, harder rock formations for geothermal well drilling. 1. Introduction Rotary Percussion Drilling (RPD) had been widely used in the industry, before the introduction of rotary rigs in the mid-1930s, for its potential to drill faster in hard formations like granites. In RPD, a down-the-hole hammer is driven by either air or fluid (water) through drill pipes, which also acts as a cleaning mechanism for downhole cuttings.

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)0.000
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: none
Teacher disagreement score0.807
Threshold uncertainty score0.184

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 science0.0000.000
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 head0.026
GPT teacher head0.239
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 teacher head, 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

Citations3
Published2022
Admission routes1
Has abstractyes

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