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Crisman Annual Report 2009 - Harold Vance Department of ...

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Gas Shales Simulation and Production Data Analysis<br />

Objectives<br />

Rate decline forecasting <strong>of</strong> wells in tight gas/shale<br />

gas reservoirs using modern decline curve analysis<br />

can result in dramatic overestimation <strong>of</strong> reserves.<br />

The cause for this error is usually incorrect<br />

interpretation <strong>of</strong> transient flow data (i.e., data which<br />

are NOT affected by reservoir boundaries).<br />

The extremely low permeability <strong>of</strong> shale gas and<br />

tight gas reservoirs causes the transient flow period<br />

to last years or decades. Additionally, the physics<br />

<strong>of</strong> transport and storage controlling the gas flow in<br />

shale gas systems is complex and varies markedly<br />

between reservoirs. Finally, posing yet another<br />

complication, most wells in these reservoir types<br />

are drilled horizontally and hydraulically fractured<br />

multiple times.<br />

the flow concept <strong>of</strong> van Kruijsdijk and Dullaert, and<br />

showed how production data analysis can be used to<br />

identify these flow regimes.<br />

In <strong>2009</strong>, TAMSIM was used to study the effects <strong>of</strong><br />

variation <strong>of</strong> numerous reservoir and completion<br />

parameters on well performance. One paper<br />

(SPE 124961: A Numerical Study <strong>of</strong> Tight Gas<br />

and Shale Gas Reservoir Systems) published this<br />

year served to characterize the effects <strong>of</strong> sorption,<br />

fracture conductivity, fracture spacing, and matrix<br />

permeability for various assumptions <strong>of</strong> single- and<br />

dual-porosity reservoirs, with and without laterally<br />

conductive layers. This work was presented at the<br />

The objectives <strong>of</strong> this research project have been to<br />

build a numerical simulator for shale gas reservoir<br />

systems and to study the complex flow regimes<br />

found around horizontal wells with multiple hydraulic<br />

fractures and enable identification and interpretation<br />

<strong>of</strong> these regimes through production data analysis.<br />

Approach<br />

Our approach has been to determine the proper<br />

theoretical foundation for creating a tight gas/shale<br />

gas simulator, and to implement these concepts<br />

into the purpose-built numerical simulator TAMSIM,<br />

which is descended from the TOUGH+ family <strong>of</strong><br />

numerical simulators.<br />

To determine a sound theoretical basis, we<br />

undertook a literature search, focusing on the<br />

physics and simulation <strong>of</strong> coalbed methane, tight<br />

gas, and shale gas reservoirs. This literature review<br />

also entailed research into specific storage and<br />

transport mechanisms such as flow in naturally and<br />

hydraulically fractured porous media, diffusion in<br />

porous media, and surface sorption.<br />

In 2008, work was focused on implementation and<br />

validation <strong>of</strong> the capability to accurately simulate<br />

horizontal wells with multiple transverse hydraulic<br />

fractures. This part <strong>of</strong> the functionality has been<br />

validated against various other methods, and used<br />

to provide synthetic cases for study and history<br />

matching. Through simulation, we created clear<br />

visualizations <strong>of</strong> the progression <strong>of</strong> flow according to<br />

The progression <strong>of</strong> flow regimes in multiple fractured horizontal wells<br />

(van Kruysdijk and Dullaert [1989])<br />

Project Information<br />

1.2.5 Shale Gas Reserves Estimation<br />

Contacts<br />

Tom Blasingame<br />

979.845.2292<br />

t-blasingame@tamu.edu<br />

C. Matt Freeman<br />

CRISMAN INSTITUTE<br />

20<br />

<strong>Crisman</strong> <strong>Annual</strong> <strong>Report</strong> <strong>2009</strong>

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