CONTINUOUS FRACTURE MODELING IN CARBONATE RESERVOIR BY INTEGRATION OF SEISMIC, GEOLOGICAL, AND PETROPHYSICAL DATA

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

BAYAT ALI AKBAR; ASGHARI OMID; BAHROUDI ABBAS; TAVAKOLI MEYSAM

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: PETROLEUM RESEARCH Year:2015 | Volume:25 | Issue:83 Page(s): 96-107

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,266

Download:

Cites:

Information Journal Paper

Title

CONTINUOUS FRACTURE MODELING IN CARBONATE RESERVOIR BY INTEGRATION OF SEISMIC, GEOLOGICAL, AND PETROPHYSICAL DATA

Author(s)

BAYAT ALI AKBAR | ASGHARI OMID | BAHROUDI ABBAS | TAVAKOLI MEYSAM | Issue Writer Certificate

Keywords

FRACTURE DENSITYQ2

FRACTURE CONTROLLERSQ2

SEISMIC ATTRIBUTESQ2

PETROPHYSICAL LOGSQ2

Abstract

Large percentages of world hydrocarbon reservoirs are fractured reservoir and fracture distribution in these reservoirs are not distributed randomly. Fracture distribution in fractured reservoir depends on the combination of structures, lithology, reservoir thickness, fault, and other FRACTURE CONTROLLERS. For accurate fracture modeling, these factors should be integrated with well data. For this purpose, FRACTURE DENSITY of three wells in Marun oil field is used. Fracture related SEISMIC ATTRIBUTES such as instantaneous frequency, curvature, and dip is extracted from seismic data. Geological and petrophysical features, which control FRACTURE DENSITY, are modeled by the integration of seismic and well data. By the integration of these factors and FRACTURE DENSITY in wells, FRACTURE DENSITY is modeled by artificial neural network. In this study, the continuous fracture model is properly modeled and the results demonstrate 82% correlation with well data. This continuous fracture model has a relatively good relation with transmissibility map and the transmissibility map satisfies high FRACTURE DENSITY in the south limb of anticline. Most fracture densities are located in the southern limb of anticline and this seems to be suitable region for field development.

Cites

No record.

References

No record.

Cite

APA: Copy

BAYAT, ALI AKBAR, ASGHARI, OMID, BAHROUDI, ABBAS, & TAVAKOLI, MEYSAM. (2015). CONTINUOUS FRACTURE MODELING IN CARBONATE RESERVOIR BY INTEGRATION OF SEISMIC, GEOLOGICAL, AND PETROPHYSICAL DATA. PETROLEUM RESEARCH, 25(83), 96-107. SID. https://sid.ir/paper/114859/en

Vancouver: Copy

BAYAT ALI AKBAR, ASGHARI OMID, BAHROUDI ABBAS, TAVAKOLI MEYSAM. CONTINUOUS FRACTURE MODELING IN CARBONATE RESERVOIR BY INTEGRATION OF SEISMIC, GEOLOGICAL, AND PETROPHYSICAL DATA. PETROLEUM RESEARCH[Internet]. 2015;25(83):96-107. Available from: https://sid.ir/paper/114859/en

IEEE: Copy

ALI AKBAR BAYAT, OMID ASGHARI, ABBAS BAHROUDI, and MEYSAM TAVAKOLI, “CONTINUOUS FRACTURE MODELING IN CARBONATE RESERVOIR BY INTEGRATION OF SEISMIC, GEOLOGICAL, AND PETROPHYSICAL DATA,” PETROLEUM RESEARCH, vol. 25, no. 83, pp. 96–107, 2015, [Online]. Available: https://sid.ir/paper/114859/en

Related Journal Papers