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Developing a relationship between static Young’s modulus and seismic parameters

Sharifi, Javad; Nooraiepour, Mohammad; Mohammadkazem, Amiri; Mondol, Nazmul Haque
Journal article
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URI
https://hdl.handle.net/11250/3064526
Date
2022-07-19
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Abstract
Mechanical properties of petroleum reservoirs can be determined via static techniques based on laboratory triaxial tests

under reservoir conditions. Dynamic approaches represent an alternative in cases where such static laboratory data are

unavailable. Dynamic elastic properties are calculated using ultrasonic wave measurements in the laboratory or in situ well

logging. Different relationships have been proposed to estimate static properties from dynamic ones based on the available

data from a particular reservoir. However, these relationships are often reservoir-specific, making them inadequate for general

seismic inversion purposes. This research proposes a method for developing relationships between seismic parameters

and static Young’s modulus in carbonate reservoirs by integrating ultrasonic measurements, well logging data, and rock

mechanic tests. A multistage triaxial test simulating the reservoir conditions was used to fully control the stress and strain

during the geomechanical experiments. Static Young’s modulus was cross-correlated with a broad spectrum of seismic

parameters that can be extracted from seismic inversion (e.g., acoustic impedance, shear impedance, Lambda–rho, and

mu–rho). Separate analytic relationships were proposed to convert dynamic Young’s modulus and seismic parameters into

static Young’s modulus. Analysis of variance was used to evaluate the results and study the applicability and reliability of

the obtained relationships. Furthermore, the reliability of the obtained relationships was successfully confirmed by well

logging data and blind well analysis. The proposed methodology can be used to predict rock behavior for geomechanical

and structural modeling.
Publisher
Springer
Journal
Journal of Petroleum Exploration and Production Technology

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