MétaCan
Menu
Back to cohort
Record W4249209168 · doi:10.2118/2002-140

A Practical and Economic Fracturing Solution for Low Permeability Shallow Reservoirs

2002· article· en· W4249209168 on OpenAlexaff
F. Gu, E. Kuru, Z. Zhao, ZHANG Mo

Bibliographic record

VenueCanadian International Petroleum Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPetroleum engineeringPermeability (electromagnetism)GeologyHydraulic fracturingChemistry

Abstract

fetched live from OpenAlex

Abstract Fluid cost saving is critical for fracturing operations in low permeability reservoirs where the production revenue is low but the job size is relatively large and the fluid cost is high. Cross-linked fluids (CLF) are usually the first option. However, they can cause significant damage to both propped fractures and formations, and they are not the cheapest option for low permeability reservoirs. Polymer free fluids, on the other hand, have much less damage but they are also expensive and may impair the economic results of fracturing, especially for low permeability reservoirs. This paper presents a new fluid system that is formulated to maximize the economic return of fracturing in low permeability shallow oil reservoirs. It is a solid free linear synthetic polymer based system with a very low formation damage characteristics. The fluids can meet a variety of fracturing requirements but they are much compared with cross-linked guar gel (CLGG). The method for designing fluid components and the procedure for preparing the fluids to achieve minimum formation damage and the least cost are described in the paper. The paper also presents the results of a comparative study where the performance of the new fluids is compared to the performance of the cross-linked guar gel (CLGG) using the data from the same well and nearby wells. Finally, examples of field applications of the new fluids with successful engineering and economic results are given. The data including geology, fluid type and fracturing operation performance results from more than 300 wells located in three different low permeability shallow oil reservoirs (800–1500 m. depth) are presented. Introduction Hydraulic fracturing is a necessary technique to develop low permeability reservoirs. Fluid takes a paramount role in fracturing treatments. A good fluid should have proper viscosity, higher sand laden capacity, low fluid loss, less damage to propped fracture and formation, and low cost. In most cases cross-linked fluids (CLF) can meet such requirements. However, severe formation damage is often experienced when using crosslinked guar gel (CLGG) as a fracturing fluid. The core flow tests conducted by Devine et al.[1] have shown that permeability reduction by CLGG fluid damage was 56% ∼71% to the cores of 100 ∼200 md and 12% ∼35% to the cores of less than 1md. The fluid damage to the tight sand was less severe than that of permeable formation[1][2]. A study by Almond[3] under low temperature condition (120 °F) showed that the flow reduction by CLGG fluid damage through 20/40 mesh high-grade sand (simulating fracture) could be as high as 100%. Without doubt the damage of this order of magnitude will greatly decrease well productivity after fractured whatever the damage is to the formation or to the propped fracture. Therefore, productivity impairment caused by the application of CLGG fluids could be a significant problem influencing the success of fracturing operation adversely. The cost of the fluid is another critical factor when fracturing, especially, low permeability and tight reservoirs where the job size is arge and the fluid cost is high but productivity of fractured wells is low with faster decline rate than that of fractured wells in conventional 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 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 categoriesInsufficient payload (model declined to judge)
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 score0.116
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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.

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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCanadian International Petroleum ConferenceSame topicHydraulic Fracturing and Reservoir AnalysisFrench-language works237,207