عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL48026
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Fuzzy and neural network models for predicting interaction between hydraulic fracture and natural fracture
General Material Designation
[Thesis]
First Statement of Responsibility
Peng Chen
Subsequent Statement of Responsibility
Rahman, Mohammed Motiur
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The Petroleum Institute (United Arab Emirates)
Date of Publication, Distribution, etc.
2014
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
129
GENERAL NOTES
Text of Note
Committee members: Haroun, Mohammed; Sarma, Hemanta Kumar
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-321-32452-5
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Discipline of degree
Petroleum Engineering
Body granting the degree
The Petroleum Institute (United Arab Emirates)
Text preceding or following the note
2014
SUMMARY OR ABSTRACT
Text of Note
Tight gas resource has been getting more and more focus due to its huge potential all over the world. Hydraulic-fracturing treatments have become an essential technology for tight gas field development. Tight gas formations often contain natural fractures (NF). In presence of natural fractures, more complex fracture networks may form during the hydraulic treatment. The interaction between fractures may alter the way the hydraulic fracture (HF) propagates through the formation, causing a complex network of fractures, which can significantly influence the overall geometry and effectiveness of hydraulic fracture. The hydraulic fracture may cross, dilate or slip into the fracture plane upon its arrival at the natural fractures. Although there have been studies on investigation of the interaction between HF and NF, most of them cannot be applied reliably due to the inherent assumptions in the analytical formulation and numerical work. In cases of laboratory studies, the limitation of the equipment could also be a factor.
TOPICAL NAME USED AS SUBJECT
Petroleum engineering
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Computer science;Fuzzy systems;Hydraulic fracturing;Neural networks
PERSONAL NAME - PRIMARY RESPONSIBILITY
Motameni, Ahmad R.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Rahman, Mohammed Motiur
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Subdivision
Petroleum Engineering
The Petroleum Institute (United Arab Emirates)
LOCATION AND CALL NUMBER
Call Number
1636536009; 1568709
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
