Welltest and Rate Transient Analysis for SRV Characterization in Shale Oil and Shale Gas Reservoirs: Field Examples from Eagle Ford Shale

Author(s):  
David Fernando Pena ◽  
Nick Bahrami ◽  
Ian Lusted
SPE Journal ◽  
2012 ◽  
Vol 17 (01) ◽  
pp. 230-242 ◽  
Author(s):  
C.R.. R. Clarkson ◽  
M.. Nobakht ◽  
D.. Kaviani ◽  
T.. Ertekin

Summary Shales and some tight-gas reservoirs have complex, multimodal pore-size distributions, including pore sizes in the nanopore range, causing gas to be transported by multiple flow mechanisms through the pore structure. Ertekin et al. (1986) developed a method to account for dual-mechanism (pressure- and concentration-driven) flow for tight formations that incorporated an apparent Klinkenberg gas-slippage factor that is not a constant, which is commonly assumed for tight gas reservoirs. In this work, we extend the dynamic-slippage concept to shale-gas reservoirs, for which it is postulated that multimechanism flow can occur. Inspired by recent studies that have demonstrated the complex pore structure of shale-gas reservoirs, which may include nanoporosity in kerogen, we first develop a numerical model that accounts for multimechanism flow in the inorganic- and organic-matter framework using the dynamic-slippage concept. In this formulation, unsteady-state desorption of gas from the kerogen is accounted for. We then generate a series of production forecasts using the numerical model to demonstrate the consequences of not rigorously accounting for multimechanism flow in tight formations. Finally, we modify modern rate-transient-analysis methods by altering pseudovariables to include dynamic-slippage and desorption effects and demonstrate the utility of this approach with simulated and field cases. The primary contribution of this work is therefore the demonstration of the use of modern rate-transient-analysis methods for reservoirs exhibiting multimechanism (non-Darcy) flow. The approach is considered to be useful for analysis of production data from shale-gas and tight-gas formations because it captures the physics of flow in such formations realistically.


ACS Omega ◽  
2021 ◽  
Author(s):  
Ting Lu ◽  
Shengxiang Long ◽  
Zhiping Li ◽  
Shimin Liu ◽  
Yu Liu ◽  
...  

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