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Record W4387446937 · doi:10.2118/214837-ms

Reducing Emissions for Extended-Reach Well Stimulation - Preexistent Sleeve Nozzle Design for Targeted Planar Propagation as a Counter to Stress Shadowing in Hydraulic Fracturing

2023· article· en· W4387446937 on OpenAlexaboutno aff
Thomas R. Watkins, J. Najafov, Eila Watson, Silviu Livescu

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2023
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHydraulic fracturingSpark plugPerforationPetroleum engineeringOil shaleGeologyDirectional drillingFracture (geology)CasingDrillingMining engineeringEnvironmental scienceGeotechnical engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Fracturing bedrock formations using a pressurized fluid to increase hydrocarbon production has been around since 1866 (Hicks 2013). It has been used in unconventional formations for over six decades since George Mitchell started using it for shale formations (New York Times 2013). For most wells in North America, hydraulic fracturing is usually performed by plug-and-perf (Lehr 2021). To reduce operational complexity, time, and cost time and meet Environmental, Social, and Governance (ESG) goals, operating companies are in a continuous search for alternative innovative fracturing systems. A new approach to traditional hydraulic fracturing was recently presented, together with several case histories from Texas, the U.S., and Alberta, Canada showing significantly improved project economics and lower environmental impact (Watkins et al. 2023a, b). Plug-and-perf uses a perforating shape charge gun (Simpson 2017) to trigger charges to create channels through the casing into the adjacent rock formation (Renpu 2011). When the downhole plug seals the well, the high-pressure fracturing fluid is diverted into the channels to fracture the shale formation. While the plug-and-perf method has successfully increased hydrocarbon production, there are areas that can be improved. One key area overdue for efficiency improvement is the perforation cluster efficiency (PCE) of the fracture formation since it is estimated that one-third of perforation clusters fail to extend and have low production efficiencies (Miller et al. 2011; Wheaton et al. 2014). A key problem is stress shadows (Nagel. 2015; Wang et al. 2022), where stresses play a considerable role in fracture formation. Perforations are placed in areas that the producers believe will result in maximum production, but the fracture propagates following underground conditions. This is typically away from earlier fractures. Consequently, the more stages near one another, the more skewed the stress shadows and the more inefficient the well due to the poor fracture network. If stress shadowing can be neutralized, it is likely that a well’s estimated ultimate recovery (EUR) or lifetime production could be one-third greater (Miller et al. 2011; Wheaton et al. 2014). The magnitude of the problem, especially considering the current ESG trend, means companies should investigate ways to enhance resource extraction—especially if it can be done without incurring additional operating expenses. A fracture follows the path of least resistance unless it is forced otherwise. When conventional perforating guns trigger a fracture, they "create long spiral-patterned perforations that leave the formation undertreated because fluid and proppant tend to flow and settle below the wellbore. Multiple spiral perforations also create competing fractures near the well that impede proppant and fluid penetration during treatment." (Dailey 2002; Li et al. 2022). This creates a bottom-heavy three-dimensional pattern that does not fully leverage the placement of the clusters within the target stage. This paper explores a newly developed and recently field deployed technology (Watkins et al. 2023a, b) that produces very long fractures in a two-dimensional pattern within a single plane in both limited entry and single-point entry fracturing. This new fracturing system described previously becomes a more efficient alternative to traditional plug-and-perf technology. This process forces fractures to stay in the targeted locations much further to significantly reduce the tendency for a fracture to intrude into adjacent fractures. The net result of keeping fractures within a single plane is a higher EUR over a well’s lifetime for a given unit of fracturing costs since the fractures form in the ideal locations that the producers identified beforehand.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.281
Teacher spread0.256 · 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 designBench or experimental
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

Citations1
Published2023
Admission routes1
Has abstractyes

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