摘要:
A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要:
A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要:
A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要:
A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要:
A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要:
A downhole oil and water separator for an oil well includes a water-selective membrane disposed in a production flowpath of the well. The water-selective membrane is operable to selectively pass water from the production flowpath to a disposal zone to increase the concentration of oil in the production flowpath at the surface.
摘要:
A system and method for selecting a training data set from a set of multidimensional geophysical input data samples for training a model to predict target data. The input data may be data sets produced by a pulsed neutron logging tool at multiple depth points in a cases well. Target data may be responses of an open hole logging tool. The input data is divided into clusters. Actual target data from the training well is linked to the clusters. The linked clusters are analyzed for variance, etc. and fuzzy inference is used to select a portion of each cluster to include in a training set. The reduced set is used to train a model, such as an artificial neural network. The trained model may then be used to produce synthetic open hole logs in response to inputs of cased hole log data.
摘要:
A system and method for generating a neural network ensemble. Conventional algorithms are used to train a number of neural networks having error diversity, for example by having a different number of hidden nodes in each network. A genetic algorithm having a multi-objective fitness function is used to select one or more ensembles. The fitness function includes a negative error correlation objective to insure diversity among the ensemble members. A genetic algorithm may be used to select weighting factors for the multi-objective function. In one application, a trained model may be used to produce synthetic open hole logs in response to inputs of cased hole log data.
摘要:
An orbital downhole separator for separating well fluids into constituents of different specific gravities. Specifically, it is designed to separate water from oil or gas. The apparatus comprises a housing with a rotating member therein driven by a motor in the housing. Well fluid flows through the rotating member and is subjected to centrifugal force to separate the components. A flow conditioner is used to facilitate separation. The invention includes several different versions of the flow conditioner including an impeller, a stator and controllers for controlling the speed of the motor in response to signals related to the amount of petroleum in the water.
摘要:
Methods of creating and using robust neural network ensembles are disclosed. Some embodiments take the form of computer-based methods that comprise receiving a set of available inputs; receiving training data; training at least one neural network for each of at least two different subsets of the set of available inputs; and providing at least two trained neural networks having different subsets of the available inputs as components of a neural network ensemble configured to transform the available inputs into at least one output. The neural network ensemble may be applied as a log synthesis method that comprises: receiving a set of downhole logs; applying a first subset of downhole logs to a first neural network to obtain an estimated log; applying a second, different subset of the downhole logs to a second neural network to obtain an estimated log; and combining the estimated logs to obtain a synthetic log.