Fuzzy and neural network models for predicting interaction between hydraulic fracture and natural fr...

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" Fuzzy and neural network models for predicting interaction between hydraulic fracture and natural fracture "
Peng Chen Rahman, Mohammed Motiur

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	803246
Doc. No	:	TL48026
Call number	:	‭1636536009;‮ ‬1568709‬
Main Entry	:	Motameni, Ahmad R.
Title & Author	:	Fuzzy and neural network models for predicting interaction between hydraulic fracture and natural fracture\ Peng ChenRahman, Mohammed Motiur
College	:	The Petroleum Institute (United Arab Emirates)
Date	:	2014
Degree	:	M.S.
field of study	:	Petroleum Engineering
student score	:	2014
Page No	:	129
Note	:	Committee members: Haroun, Mohammed; Sarma, Hemanta Kumar
Note	:	Place of publication: United States, Ann Arbor; ISBN=978-1-321-32452-5
Abstract	:	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.
Subject	:	Petroleum engineering
Descriptor	:	Applied sciences;Computer science;Fuzzy systems;Hydraulic fracturing;Neural networks
Added Entry	:	Rahman, Mohammed Motiur
Added Entry	:	Petroleum EngineeringThe Petroleum Institute (United Arab Emirates)