Geomechanical properties and unconventional hydrocarbon potential of Silurian Dadaş shales, Diyarbakır basin, SE Türkiye

Date

2024-7-05

Author

Baytok, Sait

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

84
views

0
downloads

Cite This

The Dadaş Shale in Türkiye displays promising similarities to globally recognized shale formations like the Woodford, Eagle Ford and Barnett shales. Through comprehensive comparison and analysis of its geological, geophysical and geomechanical properties, this study assesses Dadaş Shale’s potential as a significant unconventional resource. In-situ stress orientation analysis, employing borehole image and earthquake data reveal a consistent counterclockwise rotation in the orientation of SHmax. Field scale fault interpretations identify three predominant fault sets, potentially influenced by Miocene tectonic events. 2D/3D stress field modeling highlights areas of elevated stress around faults and reveals stress variations due to geometries of local structures, crucial for drilling and fracking planning. Core data analyses highlight high Total Organic Carbon (TOC) content and brittleness, crucial factors for successful hydraulic fracturing. Bounds are proposed on YME-PR and λρ-μρ space to distinguish brittle and ductile zones. These bounds (lines) are unique to the Dadaş Shale. Furthermore, the delineation of mechanical zones within the Dadaş Shale interval, facilitated by a combination of manual discrimination, neural network-based analysis, and Python k-means clustering, provides a comprehensive framework for understanding its mechanical behavior and heterogeneity. The application of λρ-μρ space, traditionally used for lithology and pore fluid discrimination, emerges as a novel approach for delineating brittle and ductile regions within the shale, further enhancing our understanding of its mechanical properties. Extending well-scale information to the seismic scale enables the identification of brittle and ductile zones at a broader scale, optimizing drilling and fracturing strategies across the Dadaş Shale formation.

Subject Keywords

Geomechanics, Unconventional, Seismic inversion, Dadaş shale, Neural Network Analysis, Türkiye

URI

https://hdl.handle.net/11511/110999

Collections

Graduate School of Natural and Applied Sciences, Thesis