Today the world is faced with two major energy challenges, i.e., shortage of primary energy sources and climate change. The latter is widely believed to be related to CO2 released from combustion of fossil fuels. Many options are being considered for reducing the emission of CO2 to the atmosphere, including using low carbon fuels (e.g., natural gas) and CO2 capture and storage. There are vast quantities of methane in the form of gas hydrates in marine sediments and permafrost regions. However, there are many technological challenges in recovering this low carbon fuel. As for CO2 storage, several techniques have been suggested, including their storage in the form of hydrates in sediments. It might be possible to integrate CO2 storage with methane gas production. In this work, we present the results of a series of experiments on the thermodynamic conditions and kinetics of integrated methane recovery and CO2 sequestration. The preliminary experiments were conducted at different temperature and pressure conditions, in the presence or absence of excess water, in the presence of gaseous or liquid CO2. Silica glass beads and a kaolinite-sand mixture were used to simulate marine sediments. Results of the experimental tests show a higher methane recovery rate in the system inside the methane hydrate stability zone (HSZ) and outside the CO2 HSZ. The presence of excess water noticeably slowed down the CO2 displacement reaction. It was observed that in the kaolinite-sand mixture methane recovery rate was significantly lower than those observed in the tests with silica glass beads. The experimental results infer that mass transfer plays a crucial role in methane recovery through CO2 replacement. The study suggests that the thermodynamic conditions inside methane HSZ and outside CO2 HSZ could be the optimum conditions for integration of methane recovery and CO2 storage in marine sediments. Introduction It has been identified by seismic survey there are enormous sedimentary deposits of methane hydrates worldwide (Kvenvolden, 1988 and 1993; Milkov, 2004). The methane trapped in the hydrates has been considered as potential energy source in the near future, while the known geological reserves of conventional natural gas and oil are rapidly declining parallel to expanding demands of fossil fuels. In marine sediments under seafloor naturally-occurring gas hydrates may form from either bacterial or thermogenic methane. Bacterial methane, generated by bacteria via either reduction of CO2 or acetate fermentation, usually forms structure I hydrates, while thermogenic methane is generated from organic matters buried underground (for example, in marine sediments) under high pressure and temperature conditions (Kvenvolden, 1993; Coleman, et al., 1995; Sassen, et al., 1999). Thermogetic methane is always accompanied with non-negligible concentrations of ethane, propane, and butane, and therefore, usually forms structure II hydrates.
TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThis study presents the development of reservoir characterization inverse model equipped with ANN type of ISGA and MSGA parallel processing algorithms. In order to efficiently run the developed model, homogeneous PC-cluster was constructed by connecting four PC which have the same features. The model was adapted ANN to automatically determine optimum GA parameters of operator, number of individuals and operation rate, which is appropriate for the reservoir heterogeneity.By utilizing the developed model in this study, inverse calculation was conducted for the synthetic reservoir system with the aid of an ISGA-PP. As a result, it was found that convergence is stably progressed. In the result of permeability distribution, it shows that low permeable zone in central area for the system studied is appeared to be little different comparing to the result obtained by Kriging method which is using only static data. In the matching result of pressure, maximum relative error of 1.54% was presented at OP-4, and hence, the calculated permeability distribution is thought to be quite reliable. When MSGA-PP was applied to the same reservoir system as ISGA-PP, it converged stably similar to ISGA-PP. The difference between ISGA-PP and MSGA-PP is appeared only at convergence rate and the resulting permeability distribution is very similar to each other.In the evaluation of computing efficiency of ISGA-PP and MSGA-PP against GA-SP, the result shows that the efficiency of parallel processing system is more greater as the number of individuals increases. Also, regardless of the number of individuals, the calculating time in parallel processing system was greatly reduced by 3.6 times comparing to serial processing system of GA-SP. Finally, inverse calculation was carried out with MSGA-PP-ANN. As a result, it converged much more faster than MSGA-PP without having a artificial neural network system. It was expected that the model takes only superior individuals at the beginning obtained by optimum GA operator set, which have greater fitness values.
fax 01-972-952-9435. AbstractIn this study, we have developed a procedure for estimation of volumetric floodable oil for producing wells in confined watrerfloods from their performance data. For a given pattern, from the composite performance of all producers, we derive a set of field based relative permeability ratio vs. saturation using the procedure published by Ershaghi and Omoregie 1 (JPT Feb 1978). This requires a prior estimation of volumetric floodable oil in place for the entire block. Extending the same process to individual wells can generate a set of relative permeability ratios vs. the cumulative oil production. The conversion of cumulative production to saturation requires an estimation of volumetric floodable oil in place in the drainage areas of individual wells. An iterative procedure is used to estimate the floodable oil in place per individual producers when the reconstructed relative permeability set for a given well matches that derived for the entire flood pattern. Comparison of estimated oil within the drainage area, to that assigned from pattern geometries, generates drainage area invasion efficiency for each producer that is indicative of effective volumetric sweeps.
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