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Record W4242396926 · doi:10.2118/2009-100

A 3D Finite Element Model for History Matching Hydraulic Fracturing in Unconsolidated Sands Formation

2009· article· en· W4242396926 on OpenAlexafffund
Bin Xu, R.C.K. Wong

Bibliographic record

VenueCanadian International Petroleum Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaWestern Canada Research GridU.S. Department of Energy
KeywordsHydraulic fracturingFinite element methodGeologyMatching (statistics)Geotechnical engineeringPetroleum engineeringEngineeringStructural engineeringMathematics

Abstract

fetched live from OpenAlex

Abstract Hydraulic fracturing is an important and prevalent process both in the natural environment and industrial applications. At the same time, field hydraulic fracturing tests data provide valuable information regarding the mechanical and hydraulic behaviours of the reservoir formation. By history-matching the field bottom-hole-pressure versus time curve from hydraulic fracturing tests, a set of field-validated geomechanical models can be obtained, which is an important asset for any further works on utilizing geomechanics to enhance the injection and production performance. This paper presents a 3-dimensinal finite element model for history matching the complete bottomhole- pressure versus time curve generated during hydraulic fracturing tests considering the injection rate as input. To stimulate the hydraulic fracturing process in unconsolidated sands formation, a poro-elasto-plastic constitutive model together with a strain-induced anisotropic fill permeability model are formulated and implemented into a 3D finite element geomechanical simulator. Unlike the conventional simulation of hydraulic fracturing in hard rock, hydraulic fracture in unconsolidated sands reservoir is stimulated as a large area of dilation zone or a net or micro-cracks, inside which the effective stresses are low and hydraulic conductivities are high. It is shown the proposed numerical model can successfully capture the hydraulic fracture initiation and propagation in unconsolidated sands formation and matches the field pressure versus time curve very well. Introduction Hydraulic fracturing can be broadly defined as a process by which a fracture initiates and propagates due to hydraulic loading (i.e., pressure) applied by a fluid inside the fracture(1). Fractures in the earth's crust are desired for a variety of reasons, including enhanced oil and gas recovery, re-injection of drilling or other environmentally sensitive wastes, measurement of in situ stresses, geothermal energy recovery, and enhanced well water production(2). Although hydraulic fracturing in hard rock has been comprehensively studied both experimentally and numerically, some fundamental mechanisms of hydraulic fracturing in unconsolidated sands have not been well understood. Experimental data clearly show that fracturing in unconsolidated sands is significantly different than those encountered in hard rock. Unconsolidated sands do not exhibit elastic-brittle behavior. In addition, unconsolidated sands have very low tensile and shear strengths at low effective stresses as well as relatively large fluid leak-off(3–5). Based on other researchers' work(3–7) on the fundamental mechanisms of hydraulic fracturing in unconsolidated sands, this paper presents the constitutive modeling and numerical simulation of hydraulic fracturing in unconsolidated sands within the framework of continuum mechanics. Numerical experiments show that this approach has special advantages in numerical modeling of large scale field problems, such as the disposal of waste cutting fluid, and micro/mini fracture tests in unconsolidated sands formation. Even in its most basic form, hydraulic fracturing in unconsolidated sands is a complex process to model, as it involves the coupling of at least three processes:the solid matrix deformation and failure induced by the pore fluid pressure;the flow of fluid within the fracture and solid matrix; andthe fracture initiation and propagation after the failure of formation.

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 score0.644
Threshold uncertainty score0.941

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 science0.0000.000
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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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

Citations8
Published2009
Admission routes2
Has abstractyes

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