913 resultados para Oil well drilling.
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Automatic inspection of petroleum well drilling has became paramount in the last years, mainly because of the crucial importance of saving time and operations during the drilling process in order to avoid some problems, such as the collapse of the well borehole walls. In this paper, we extended another work by proposing a fast petroleum well drilling monitoring through a modified version of the Optimum-Path Forest classifier. Given that the cutting's volume at the vibrating shale shaker can provide several information about drilling, we used computer vision techniques to extract texture informations from cutting images acquired by a digital camera. A collection of supervised classifiers were applied in order to allow comparisons about their accuracy and effciency. We used the Optimum-Path Forest (OPF), EOPF (Efficient OPF), Artificial Neural Network using Multilayer Perceptrons (ANN-MLP) Support Vector Machines (SVM), and a Bayesian Classifier (BC) to assess the robustness of our proposed schema for petroleum well drilling monitoring through cutting image analysis.
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Manual and low-tech well drilling techniques have potential to assist in reaching the United Nations' millennium development goal for water in sub-Saharan Africa. This study used publicly available geospatial data in a regression tree analysis to predict groundwater depth in the Zinder region of Niger to identify suitable areas for manual well drilling. Regression trees were developed and tested on a database for 3681 wells in the Zinder region. A tree with 17 terminal leaves provided a range of ground water depth estimates that were appropriate for manual drilling, though much of the tree's complexity was associated with depths that were beyond manual methods. A natural log transformation of groundwater depth was tested to see if rescaling dataset variance would result in finer distinctions for regions of shallow groundwater. The RMSE for a log-transformed tree with only 10 terminal leaves was almost half that of the untransformed 17 leaf tree for groundwater depths less than 10 m. This analysis indicated important groundwater relationships for commonly available maps of geology, soils, elevation, and enhanced vegetation index from the MODIS satellite imaging system.
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"October 1, 1978."
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Mode of access: Internet.
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At head of title: ... Department of commerce. Herbert Hoover, secretary. Bureau of mines. Scott Turner, director.
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Mode of access: Internet.
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"MMS 84-0007"--Cover.
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"March 1985."
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Mode of access: Internet.
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"OCS sale 45."
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Mode of access: Internet.
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Mode of access: Internet.
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"Paper no. 54-Pet-19 for presentation at the ninth annual Petroleum Mechanical Engineering Conference, Los Angeles, California September 27-29, 1954. American Society of Mechanical Engineers."
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"December 1982"--Final.
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Cover title: Proposed 1979 Outer Continental Shelf oil and gas lease sale 58, western and central Gulf of Mexico.