By Olivier Allain, Roland N. Horne (auth.), Ibrahim Palaz, Sailes K. Sengupta (eds.)
Here is a state of the art survey of synthetic intelligence in smooth exploration courses. Focussing on typical exploration systems, the contributions learn the benefits and pitfalls of utilizing those new suggestions, and, within the approach, offer new, extra actual and constant equipment for fixing outdated difficulties. They exhibit how specialist platforms gives you the mixing of data that's crucial within the petroleum while fixing the advanced questions dealing with the fashionable petroleum geoscientist.
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Additional resources for Automated Pattern Analysis in Petroleum Exploration
Nothing should occur after pseudosteady state. 6. Nothing should occur after the effect of a constant pressure fault. This list is not necessarily exhaustive. Other constraints may be required depending on the implementation of this approach. Regime Description In the previous section, we defmed the necessary knowledge for describing qualitatively any possible interpretation model. As we emphasized earlier, it is necessary to take into account the quantitative properties of certain regimes. This information is all the more needed since the qualitative description alone may not always allow the distinction of different models.
Otherwise go to 4. 4. Perform type curve matching. If the models are found too simple, then go to 2. For model identification, it would be sufficient to modify the matching procedure developed in this study. , 1987, An artificial intelligence approach to well test interpretation: MS Report, Stanford Univ. , 1988, An artificial intelligence approach to model identification in well test interpretation: Engineer Report, Stanford Univ. , 1988, Improved estimation algorithms for automated type curve analysis of well tests: Soc.
Does the expert follow the curve from early time to late time? Do some sections of the curve attract the expert's attention before others? We consider interpretation of the response in a linear fashion, from beginning to end. This procedure is natural because the descriptions of models and data are lists, and recursion is the adequate method for processing lists. We define a "data element" as the section of the data corresponding to a particular element of the data description. A data element has two attributes, a shape and a segment.
Automated Pattern Analysis in Petroleum Exploration by Olivier Allain, Roland N. Horne (auth.), Ibrahim Palaz, Sailes K. Sengupta (eds.)