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Fast determination and characterization of formation resistivity anisotropy, dip, and fracture using multicomponent induction data

Junsheng Hou, Burkay Donderici, David Torres and John Quirein
Fast determination and characterization of formation resistivity anisotropy, dip, and fracture using multicomponent induction data (in Fractures, Mehdi E. Far (prefacer), Enru Liu (prefacer) and Jon Downton (prefacer))
Interpretation (Tulsa) (August 2015) 3 (3): ST55-ST71

Abstract

Multicomponent induction (MCI) logging measurements have been widely used in the past decade for determining formation resistivity anisotropy (horizontal and vertical resistivities: R (sub h) and R (sub v) ), dip, and azimuth. Currently, almost all MCI processing and interpretation algorithms of determining R (sub h) , R (sub v) , dip, and azimuth are based on simplified transversely isotropic (TI) formation models. In most geologic environments, formations are layered or laminated, making the TI model a reasonable assumption. Subsurface formations usually contain different types of fractures (natural or drilling-induced), and exhibit azimuthal resistivity anisotropy in the bedding plane, which leads to formation biaxial anisotropy (BA) in the same bedding plane. (This type of media is usually called orthorhombic or orthotropic in mechanical engineering and geomechanics.) Therefore, MCI data processing based on TI models may not be valid in complex BA formations caused by fractures. MCI processing and interpretation methods based on BA formation models are needed for more accurate descriptions of complex anisotropic formations. Fractures significantly affect fluid flow in formations, and therefore the fracture characterization with MCI logging can provide some useful information for oil/gas development and production, especially in unconventional reservoirs. We have developed a fast and practical integrated method of borehole multiarray MCI data processing for effective determination of formation BA anisotropy (or triaxial resistivities: R (sub x) , R (sub y) , and R (sub z) , dip, and azimuth. The multiple MCI data sets were further applied to fracture evaluation, and they were tested with synthetic and field log data sets. The method has the following components: the inversion algorithm based on the multiple BA models, a fracture identification function for detection of the fracture, and the corresponding approach for estimation of the fracture relative azimuth and dip angle. The application results demonstrated that accurate triaxial formation anisotropy and dip can be obtained based on the BA models compared with the TI processed logs. Furthermore, fractures can be characterized by integrating measurements and processed log data, such as the recovered horizontal resistivities R (sub x) and R (sub y) , vertical resistivity R (sub z) , and formation dips based on the BA and TI models.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 3
Title: Fast determination and characterization of formation resistivity anisotropy, dip, and fracture using multicomponent induction data
Title: Fractures
Author(s): Hou, JunshengDonderici, BurkayTorres, DavidQuirein, John
Author(s): Far, Mehdi E.prefacer
Author(s): Liu, Enruprefacer
Author(s): Downton, Jonprefacer
Affiliation: Halliburton, Houston, TX, United States
Affiliation: Halliburton, Houston, TX, United States
Pages: ST55-ST71
Published: 201508
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 15
Accession Number: 2016-006912
Categories: Economic geology, geology of energy sourcesApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: ExxonMobil, USA, United StatesCGG, CAN, Canada
Source Note: Online First
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201604
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