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Shale oil and gas have become very promising unconventional energies in recent years. To optimize operations in oil and gas production, a reservoir model is important for understanding the subsurface appropriately. Generally, sensor data, such as surface seismic data, are most popular data sources in modelingthe reservoir with either a numerical simulation model or an Artificial Intelligence (AI)-based...
Excessive water production in oil fields is a challenging problem affecting oil production and entailing high handling and disposing costs as well as environmental issues. Accurate and timely diagnosis of the water production problem will significantly increase the success of the remedial actions taken. The traditional approaches in production data analysis by means of empirical techniques for proper...
Data mining is not an autonomous data-driven trial-and-error process, but a human-machine-cooperated interactive knowledge discovery process. As a result, the domain-driven data mining is proposed. Additionally, there are lots of models existing in oil and gas exploration and production, such as geological models, logging constrained seismic inversion models and well logging interpretation models,...
Coal bed methane (CBM) potential evaluation is important for choosing the prospective target area for CBM exploration and production. Many unwise evaluations may have induced the high failure ratio of CBM exploration and development in China. Developing a comprehensive model for CBM potential evaluation is also complicated by the diverse geologic and engineering factors. In this paper, a fuzzy analytic...
CO2 capture methods of post-combustion and pre-combustion from power plant are investigated in this study. Different injection strategies for CO2 and water individually or combined are conducted by the model scaled up from Wilmington heavy oil reservoir. The results indicate high injection rate and high initial reservoir pressure for CO2 flooding or CO2&Water simultaneous flooding can achieve...
Large volumes of historical petroleum data are available and presently unused primarily because of lack of knowledge. Initially, conceptual data models are derived and warehoused for data mining. For this purpose, petroleum system analysis and knowledge mapping of geological structure, reservoir, well and oil/gas production data are done concentrating on the key issues of geological-structure, reservoir...
In this paper a BISR architecture for embedded memories is presented. The proposed scheme utilises a multiple bank cache-like memory for repairs. Statistical analysis is used for minimisation of the total resources required to achieve a very high fault coverage. Simulation results show that the proposed BISR scheme is characterised by high efficiency and low area overhead, even for high defect densities...
The power companies of the New England states, where fossil-fuel cost is high, have determined that low-variable-cost nuclear generation is desirable for this region. The construction of pumped-storage hydro plants, favored by the topography of the area, will offset the relatively high fixed costs of nuclear plants by maximizing the capacity-use factor of the nuclear facilities and thereby minimizing...
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