A Novel Approach to Fracture Characterization Utilizing Borehole Seismic
Data

Dutta, Pradyumna; Mardi, Chrystianto; Akbar, Mahmood; Singh, Sharanjeet; Al-Genai, Jarrah; Akhtar, Azhar

doi:10.2523/105427-ms

Cited by 2 publications

(4 citation statements)

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“…Therefore, in modeling fractured reservoirs, understanding fracture properties is very important (Roehl and Choquette 1985). Fractured zones can be probably detected both directly and indirectly using seismic sections, petrophysical logs, well tests, drilling mud loss history and core description (Thompson 2000, Nelson 2001, Martinez-Torres 2002, Dutta et al 2007, Tokhmechi et al 2009a. However, each of these methods is subjected to some limitations in practice.…”

Section: Introductionmentioning

confidence: 99%

“…Shen and Li (2004) have presented a combined approach for characterization of naturally fractured reservoirs. Application of shear-wave technique to identify fault zones (Dutta et al 2007), a wavelet transform applied to petrophysical logs (Mohebbi et al 2007), factor analysis to detect open fractures near faults (Ozkaya and Siyabi 2008) and detecting fracture corridors using probabilistic decision trees (Ozkaya 2008) are other methods used by other researchers to identify and characterize natural fractures. Yan et al (2009) presented a method to model fracture porosity.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the fracture density in fractured zones using petrophysical logs

Tokhmchi

Memarian

Rezaee

2010

Journal of Petroleum Science and Engineering

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Image logs are presently the main specialized tools for fracture detection in hydrocarbon reservoirs. Where image logs are not available, other less rewarding substitutes such as isolated well tests and type curve analysis, drilling mud loss history, core description and conventional petrophysical logs are used for fracture detection. In this paper a novel method is proposed for fracture density estimation in the fractured zones, using energy of petrophysical logs. Image and petrophysical logs from Asmari reservoir in eight wells of an oilfield in southwestern Iran were used to investigate the accuracy and applicability of the proposed method. Energy of the petrophysical logs in the fractured zones is calculated and linear and non-linear regressions between them are estimated. Results show that there is strong correlation between the energy of caliper, sonic (DT), density (RHOB) and lithology (PEF) logs with fracture density in each well. In order to find a generalized estimator, a unique normalization method are developed, and by using it, a non-linear regression has been found which estimates fracture density with correlation coefficient of higher than 80%. The resultant regression has the capability of generalization in the studied field.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of the fracture density in fractured zones using petrophysical logs

Tokhmchi

Memarian

Rezaee

2010

Journal of Petroleum Science and Engineering

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“…Therefore in modeling fractured reservoirs understanding fracture properties is important especially in fractured Carbonate reservoirs (Roehl and Choduette, 1985). Fractures can be detected in both direct and indirect manners using seismic sections, petrophysical logs, well tests, well mud loss history and core description (Schlumberger Log Interpretation Principles/ Applications, 1998;Thompson, 2000;Nelson, 2001;Martinez-Torres, 2002;Dutta et al, 2007). However, each of these methods is subjected to some limitations in their use.…”

Section: Introductionmentioning

confidence: 99%

“…Tran (2004) used classification algorithm to study and detect the fractures. Dutta et al (2007) by analysing shear waves identified fault zones. Mohebbi et al (2007) applied wavelet transform on some logs to detect fractures.…”

Section: Introductionmentioning

confidence: 99%

Fracture detection from water saturation log data using a Fourier–wavelet approach

Tokhmechi

Memarian

Rasouli

et al. 2009

Journal of Petroleum Science and Engineering

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/copyright

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A Novel Approach to Fracture Characterization Utilizing Borehole Seismic Data

Cited by 2 publications

References 0 publications

Estimation of the fracture density in fractured zones using petrophysical logs

Estimation of the fracture density in fractured zones using petrophysical logs

Fracture detection from water saturation log data using a Fourier–wavelet approach

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