Determining Formation Resistivity Anisotropy in the Presence of Invasion

2004 ◽  
Author(s):  
Tom Barber ◽  
Barbara Anderson ◽  
Aria Abubakar ◽  
Tracy Broussard ◽  
Kuo-Chaing Chen ◽  
...  
Keyword(s):  
Resistivity Anisotropy ◽  
Formation Resistivity

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

2015 ◽  
Vol 3 (3) ◽  
pp. ST55-ST71 ◽  
Author(s):  
Junsheng Hou ◽  
Burkay Donderici ◽  
David Torres ◽  
John Quirein
Keyword(s):  
Data Processing ◽  
Transversely Isotropic ◽  
Bedding Plane ◽  
Reasonable Assumption ◽  
Data Sets ◽  
Inversion Algorithm ◽  
Fracture Characterization ◽  
Log Data ◽  
Resistivity Anisotropy ◽  
Formation Resistivity

Multicomponent induction (MCI) logging measurements have been widely used in the past decade for determining formation resistivity anisotropy (horizontal and vertical resistivities: [Formula: see text] and [Formula: see text]), dip, and azimuth. Currently, almost all MCI processing and interpretation algorithms of determining [Formula: see text], [Formula: see text], 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: [Formula: see text], [Formula: see text], and [Formula: see text]), 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 [Formula: see text] and [Formula: see text], vertical resistivity [Formula: see text], and formation dips based on the BA and TI models.

Enhanced real-time determination of resistivity anisotropy and dip using multifrequency and multicomponent induction logging

2016 ◽  
Vol 4 (2) ◽  
pp. SF137-SF149 ◽  
Author(s):  
Junsheng Hou ◽  
Burkay Donderici ◽  
David Torres
Keyword(s):  
Real Time ◽  
Water Saturation ◽  
Synthetic Data ◽  
Single Frequency ◽  
Anisotropy Ratio ◽  
Data Process ◽  
Resistivity Anisotropy ◽  
Time Determination ◽  
Formation Resistivity

Multicomponent induction (MCI) logging is able to provide a wealth of measurements at multiple subarrays and frequencies that can be used to evaluate complex subsurface formations. Real-time and postprocessing inversion methods have been introduced by various researchers for determining formation resistivity anisotropy (horizontal and vertical resistivity or conductivity), dip, and dip azimuth/strike using MCI measurements. The majority of these methods are based on single-frequency information. We have developed an enhanced real-time method and relevant workflow for determining formation resistivity anisotropy, dip, and dip azimuth using multifrequency MCI information. This enhanced method can be used to improve accuracy in formation evaluation applications, such as reservoir identification, hydrocarbon/water saturation calculation, and geologic and structural interpretation. Enhancements over the present single-frequency data processing include: (1) optimal harmonization of multiple single-frequency inverted logs, (2) robust determination of dip and dip azimuth angle for low-resistivity anisotropy ratios, (3) practical data-quality evaluation that takes into account the effects of formation resistivity, anisotropy ratio, and dip parameters, and (4) a new integrated workflow that can be used to determine formation anisotropy, true dip, and dip azimuth by integrating processed relative dip and azimuth and borehole directional logging data. Finally, all of these data process enhancements have been validated with synthetic data and field log data.

Resistivity anisotropy and Josephson coupling in lead-substituted bismuth cuprates

1994 ◽  
Vol 4 (11) ◽  
pp. 2249-2257 ◽  
Author(s):  
F.-X. Régi ◽  
J. Schneck ◽  
H. Savary ◽  
R. Mellet ◽  
P. Müller ◽  
...  
Keyword(s):  
Josephson Coupling ◽  
Resistivity Anisotropy ◽  
Bismuth Cuprates

Dependence on the oxygen concentration of the resistivity anisotropy in YBa2Cu3O6+x single crystals

1990 ◽  
Vol 41 (3) ◽  
pp. 365-367 ◽  
Author(s):  
L Forro ◽  
C Ayache ◽  
J Y Henry ◽  
J Rossat-Mignod
Keyword(s):  
Single Crystals ◽  
Oxygen Concentration ◽  
Resistivity Anisotropy

Measurement of Formation Resistivity Through Steel Casing

1995 ◽  
Author(s):  
B. Sh. Singer ◽  
O. Fanini ◽  
K.-M. Strack ◽  
L.A. Tabarovsky ◽  
X. Zhang
Keyword(s):  
Formation Resistivity

Influence of magnetic ordering on the resistivity anisotropy of α-MnS single crystal

2004 ◽  
Vol 129 (3) ◽  
pp. 195-197 ◽  
Author(s):  
S.S. Aplesnin ◽  
G.A. Petrakovskii ◽  
L.I. Ryabinkina ◽  
G.M. Abramova ◽  
N.I. Kiselev ◽  
...  
Keyword(s):  
Single Crystal ◽  
Magnetic Ordering ◽  
Resistivity Anisotropy

Preliminary study on characteristics of earthquake precursor of earth resistivity anisotropy degree in East China

2004 ◽  
Vol 17 (2) ◽  
pp. 244-250 ◽  
Author(s):  
Feng Zhi-sheng ◽  
Yang Jian-jun ◽  
Mei Wei-ping ◽  
Geng Jie ◽  
Wang Xue-quan ◽  
...  
Keyword(s):  
Earthquake Precursor ◽  
East China ◽  
Earth Resistivity ◽  
Resistivity Anisotropy ◽  
Preliminary Study ◽  
Anisotropy Degree
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