Acoustical and Geomechanical Characterization of Eagle Ford Shale -Anisotropy, Heterogeneity and Measurement Scale

2014 ◽  
Author(s):  
Mehdi Mokhtari ◽  
Mehdi Matt Matt Honarpour ◽  
Azra Nur Tutuncu ◽  
Gregory N. Boitnott
Keyword(s):  
Measurement Scale ◽  
Eagle Ford Shale ◽  
Eagle Ford ◽  
Geomechanical Characterization ◽  
Shale Anisotropy

Characterization of Elastic Anisotropy in Eagle Ford Shale: Impact of Heterogeneity and Measurement Scale

2016 ◽  
Vol 19 (03) ◽  
pp. 429-439 ◽  
Author(s):  
Mehdi Mokhtari ◽  
Matt M. Honarpour ◽  
Azra N. Tutuncu ◽  
Gregory N. Boitnott
Keyword(s):  
Elastic Properties ◽  
Elastic Anisotropy ◽  
Dynamic Properties ◽  
Measurement Scale ◽  
Log Analysis ◽  
Well Log ◽  
Measurement Scales ◽  
Eagle Ford Shale ◽  
Eagle Ford ◽  
Well Log Analysis

Summary Heterogeneity and anisotropy were characterized in some Eagle Ford shale samples at various scales by use of scanning-electron-microscopy (SEM) imaging, computed-tomography (CT) scanning, and compressional-velocity scanning. Triaxial testing on 1-in.-diameter and 3-in.-diameter core samples and well-log analysis were used to calculate elastic properties by using vertical transverse isotropic modeling. Correlations between the stiffness coefficients and the correlations between static and dynamic properties from laboratory tests were applied to well-log analysis to improve the calculation of minimum horizontal stress. This paper provides the elastic properties of the Eagle Ford shale at various measurement scales. The paper also elaborates the role of heterogeneity in laboratory testing of shale reservoirs.

scholarly journals A Production Characterization of the Eagle Ford Shale, Texas - A Bayesian Analysis Approach

2017 ◽  
Author(s):  
Nefeli Moridis ◽  
Yasser Soltanpour ◽  
Zenon Medina-Cetina ◽  
W. John Lee ◽  
Thomas A. Blasingame
Keyword(s):  
Bayesian Analysis ◽  
Analysis Approach ◽  
Eagle Ford Shale ◽  
Eagle Ford

Stratigraphic Characterization of the Eagle Ford Shale to Identify the Best Landing Zone: A Semi-analytical Workflow

2022 ◽  
pp. 1-62
Author(s):  
Ajit K. Sahoo ◽  
Vikram Vishal ◽  
Mukul Srivastava
Keyword(s):  
Local Level ◽  
Well Performance ◽  
Eagle Ford Shale ◽  
Eagle Ford ◽  
Landing Zone ◽  
Production Behavior ◽  
Key Drivers ◽  
The Relationship

Placement of the horizontal well within the best landing zone is critical to maximize well productivity, thus identification of the best landing zone is important. This paper illustrates an integrated semi-analytical workflow to carry out the stratigraphic characterization of the Eagle Ford shale to identify the best landing zone. The objective of this work is twofold: 1) to establish a workflow for stratigraphic characterization and 2) to understand the local level variability in the well performance.To establish the workflow, we have used the production data, petrophysical information and regional reservoir property maps. As a first step of the workflow, we subdivided the Eagle Ford shale into nine smaller stratigraphic units using the wireline signatures and outcrop study. In the second step, we have used statistical methods such as linear regression, fuzzy groups and theory of granularity to capture the relationship between the geological parameters and the well performances. In this step, we identified volume of clay (Vclay), hydrocarbon filled porosity (HCFP) and total organic carbon (TOC) as key drivers of the well performance. In the third step, we characterized the nine smaller units and identified four stratigraphic units as good reservoirs with two being the best due to their low Vclay, high HCFP and high TOC content.Finally, we reviewed the well paths of four horizontal wells with respect to the best stratigraphic units. We observed that production behavior of these wells is possibly driven by their lateral placement. The better producing wells are placed within the middle of the best stratigraphic units whereas the poor wells are going out the best stratigraphic units. This investigation provides a case study that demonstrates the importance of integrating datasets to identify best landing zones and the suggested workflow can be applied to other areas and reservoirs to better identify targetable zones.

Characterization of Eagle Ford Shale

2002 ◽  
Vol 67 (1-2) ◽  
pp. 169-183 ◽  
Author(s):  
Sung-Chi Hsu ◽  
Priscilla P Nelson
Keyword(s):  
Eagle Ford Shale ◽  
Eagle Ford
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