«Geology, geophysics and development of oil and gas fields»

Prediction of carbonate formations fracturing based on the data of gamma-ray spectral logging analysis

UDC: 550.832.52:551.252
DOI: 10.33285/2413-5011-2022-6(366)-11-16

Authors:

¹ Bashkir State University, Ufa, Russia

Keywords: fracture prediction, carbonate reservoirs, spectrometric gamma-ray logging, Tournaisian stage, fracture map, hydraulic fracturing, complicated geological objects, low permeability

Annotation:

Information about the presence of fractures in complicated geological objects, such as carbonate deposits of the Orenburg region, allows predicting reservoir permeability and well productivity when developing and operating fields and selecting wells for hydraulic fracturing.

Currently, the presence of fractures, their orientation, their parameters are successfully determined by the results of the core lithological description, borehole studies using special well logging methods (wave acoustic logging, micro scanning of the borehole wall). However special well logging methods are not used in all wells, and core sampling is performed only in a given depth interval in exploratory and exploration wells. In addition, in carbonate deposits with a developed system of fractures, the core is not always representative. In this regard, the definition of fractures in the section under study can be performed by spectrometric gamma-ray logging (SGRL) of natural radioactivity.

The purpose of these studies is to predict fracturing of carbonate deposits of the Tournaisian stage of one area of the Baleikinskoye field based on the results of spectrometric gamma-ray logging.

The study resulted in predicting fracturing based on the data of processing spectrometric gamma-ray logging recorded in the carbonate deposits section of one area of the Baleikinskoye field with low reservoir properties. The U/Th ratio cutoff is substantiated to identify depths with the presence of fracturing. Wells that are recommended for hydraulic fracturing to increase reservoir permeability are identified.

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