Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

Coal bed reservoir simulation with geostatistical property realizations for simultaneousmulti-well production historymatching: a case study from Illinois Basin, Indiana, USA.

Authors
Karacan-C÷; Drobniak-A; Mastalerz-M
Source
Int J Coal Geol 2014 Sep; 131:71-89
NIOSHTIC No.
20044778
Abstract
Coal seam degasification is a means to recover energy from the methane gas retained in coal, and is also a supplementary measure to ventilation, which is proven to be one of the most effective ways to reduce methane emissions to a safe level in coal mines. Reservoir simulation is probably the most effective way to assess the coal seam as a "gas reservoir" and thereby its fluid-storage and flow-related properties. This objective is achieved by taking advantage of history matching of wellbore production. Reservoir simulation with multi-well history matching is a tedious process as important coal properties that affect wells' production characteristics are spatially variable across the seam. The common practice is to change various properties at the well blocks during the history matching process, and assume that they are uniform across the domain of interest. This process, however, often does not produce realistic and effective results for well or coal reservoir management. In this work, a multi-level approach to coal bed reservoir simulation is demonstrated for a group of coalbed methane wells in the Illinois Basin producing from the Seelyville Coal Member of the Linton Formation of the Carbondale Group (Pennsylvanian) in Indiana. This approach includes, in order, gas and water deliverability analyses of wells, geostatistical simulation and co-simulation, and coal bed reservoir simulation. It is shown that a reservoir model, which utilizes the geostatistical maps of important coal properties, is effective for simultaneous history matching of all wells, and eliminates the need for guessing and changing values of coal properties at and around individual well blocks. This methodology also provides realistic distributions of reservoir parameters and how they change during gas depletion, and thus aids in coal seam and coal gas management.
Keywords
Mining-industry; Underground-mining; Coal-mining; Methane-drainage; Ventilation-systems; Ventilation; Simulation-methods; Geology; Models; Coal-gas; Author Keywords: Coalbed methane; Illinois Basin; Seelyville coal; Coal bed reservoir simulation; History matching; Geostatistics
Contact
C. ÷zgen Karacan, 626 Cohcrans Mill Road, PO 18070, Pittsburgh PA, 15236, USA
CODEN
IJCGDE
Publication Date
20140901
Document Type
Journal Article
Email Address
cok6@cdc.gov
Fiscal Year
2014
NTIS Accession No.
NTIS Price
Identifying No.
M072014
ISSN
0166-5162
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
International Journal of Coal Geology
State
PA; IN; IL
TOP