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Record W2086674804 · doi:10.2523/iptc-10395-ms

Optimizing Maximum Reservoir Contact Wells: Application to Saudi Arabian Reservoirs

2005· article· en· W2086674804 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Petroleum Technology Conference · 2005
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
FundersMedical Research CouncilSaudi Aramco
KeywordsCitationEngineeringComputer scienceLibrary science

Abstract

fetched live from OpenAlex

Abstract The objective of multilateral-well technology is to improve well productivity by maximizing reservoir contact, resulting in field development with fewer wells. Long horizontal wells (up to eight km) are drilled, but the greatest opportunity, as well as the greatest technological challenge, lies with MRC wells. A Maximum Reservoir Contact (MRC) well, by definition, is a multilateral horizontal well with more than five km of total contact with the reservoir rock. Planning of these wells requires extensive modeling studies to optimize total length, placement and configuration of branches, and the use of "smart-well" options: selective layer/branch shutoff devices, balanced production to limit flow of fluid through a particular branch, crossflow control, and downhole separators to handle high watercuts. This paper describes how these objectives were met and the well design was optimized. In this work, a number of sector models were used to evaluate different MRC completions based on their total production, well placement and design, stage of depletion, pressure interference between laterals, and impact of water encroachment by downhole control. Applying this reservoir simulator to the development of the northern area of the Greater Ghawar field, we were able to accomplish the following:Optimize well placement.Optimize numbers and lengths of laterals.Evaluate benefit of "smart" well completions. Detailed modeling of the proposed MRC wells provided a better understanding of reservoir dynamics that will enable Reservoir Management to make faster and informed decisions. Besides this, the study helped us significantly reduce turnaround time for MRC well evaluation. Introduction The successful implementation of horizontal drilling over the last two decades has led to the development of multilateral-well technology. The number of multilateral-well completions has increased substantially in the last several years due to advances in directional drilling and completion systems. Many field applications have been reported in the literature including compartmentalized reservoirs in UK and Malaysia, stacked dual, triple, and fishbone laterals in Venezuela, and diverse applications in onshore and offshore USA and North Sea, Thailand and Brunei, Canada, Brazil, Italy, Nigeria, and the Middle East.

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 categoriesMeta-epidemiology (narrow)
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 score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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