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Record W4391329509 · doi:10.2118/217785-ms

Improving Stage Isolation in Vaca Muerta Wells Through Observations from an Integrated Fiber Optic Pilot

2024· article· en· W4391329509 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.

Bibliographic record

VenueSPE Hydraulic Fracturing Technology Conference and Exhibition · 2024
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsStage (stratigraphy)Isolation (microbiology)Optical fiberGeologyComputer scienceTelecommunicationsPaleontologyBiology

Abstract

fetched live from OpenAlex

Abstract The productivity of an unconventional well depends on reservoir quality that can be selected but not controlled and completions that can be optimized. The challenge with improving a completion design is the lack of information about the actual downhole performance. An ultimate requirement for an effective completion is to have isolation between two adjacent stages. The observations and recommendations for improving stage isolation are made from the first integrated fiber optic (FO) pilot in Vaca Muerta. Shell conducted an integrated diagnostic pilot in Vaca Muerta that included acquisition of multiple data types, such as: permanent fiber optics installation, surface microseismic monitoring, downhole pressure gauges, mudlogging, open and cased hole logging. One of the objectives for this project was to evaluate stage isolation performance for different plug types. Stage isolation was analyzed based on the DAS and DTS interpretation in two wells equipped with permanent fiber optic cable. Complementary, isolation integrity test (IIT) was performed in three stages of each well during wireline pump down operations. These results are compared with the FO interpretations. This paper summarizes observations from the real-time monitoring of operations on two wells landed in different zones. Three solutions for stage isolation were tested in these wells. A statistical analysis of their performance is presented. The interpretation of the isolation integrity test is summarized and discussed. The isolation results between FO and IIT are cross-checked. While all stages with IIT data have good isolation based on FO interpretation, three of IIT tests indicate the lack of isolation. This discrepancy is discussed in the paper. During the execution of the pilot, observations were made about the impact of the treatment schedule on the plug performance. Modifications were implemented during execution and recommendations are made for future completions. The investigation extends to evaluating plug isolation failures using FO monitoring after pad-wide fracture stimulation. We enhance our analysis by including multifinger caliper measurements (pre and post stimulation) to assess deformation and ovality in FO-instrumented wells, aligning these observations with plug failure instances. A post-fracturing ovality difference between landing zones was identified. While plug isolation failures are often associated with ovalization, it's essential to note that no specific ovality threshold was found to reliably predicts plug isolation success. These insights deepen the understanding of stage isolation challenges across the well pad.

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: Empirical
Teacher disagreement score0.279
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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