Exact(3)
Two applications are presented: a nine-dimensional inventory forecasting problem and an eight-dimensional water reservoir problem.
These records of data must be modified based on an understanding of the reservoir problem and a familiarity with the accompanying computer program IFLO.
Understanding about produced water characteristics can help in increasing the production and also knowledge of its chemical constituents; operators can determine the proper application of scale inhibitors and well treatment chemicals as well as identify potential well-bore or reservoir problem areas (Breit et al. 1998).
Similar(57)
Emphasis is on practical applications and integration of seismic and well data to exploration and field reservoir problems.
To simulate this kind of large-scale reservoir problems, based on black-oil models and compositional model, a parallel simulator is developed in this paper.
Also, a number of layers from the tenth SPE comparative study problem are used to examine general abilities of the method when facing realistic reservoir problems.
These findings are applicable if geophysical logging tools be used after the drilling of wells to ascertain properties such as porosity; our dataset provides useful means to address complex reservoir problems.
Next, we test the parallel DP algorithm on the classic, benchmark four-reservoir problem on a high-performance computing (HPC) system with up to 350 cores.
The model proposed to the reservoir-problem includes heat generation by the chemical reactions, an essential feature for the proper accounting of the acid rock interaction.
The wellbore-problem and the reservoir-problem are both solved individually via Laplace transforms and the coupled solution is then rendered by convolution in Laplace space.
The eventual temperature distribution after the acid penetration into the reservoir, for the complete problem, is then obtained by coupling the solution to the wellbore-problem and the solution to the reservoir-problem.
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