[PDF] Top 20 Prediction of Microbial Enhanced Oil Recovery using an Artificial Intelligence Method based on Experimental Data

... a method was developed to solve n-separable problems because of a perceptron could then only solve a 2- separable or a linearly separable ...with artificial neural networks for minimization and curve ... See full document

... studies based on artificial intelligence are as follows: Al-Dousari and Garrouch [15] put forward an artificial neural network model consisting input data of 18 dimensionless groups ... See full document

... An artificial intelligence technique based on five (5) layered feedforward backpropagation algorithm is applied in this study for technical screening of enhanced oil recovery ... See full document

... the oil viscosity through an increased ...Heated oil and condensed steam gravitationally flow down towards the lower production well, where the fluids ... See full document

... Group Method of Data Handling (GMDH) known also as polynomial neural network is one of the most promising families of artificial neural networks (ANNs) (Dargahi-Zarandi et ...calculated based ... See full document

... The oil sands are oil reservoirs containing oil in the form of bitumen with a low ...meters, enhanced oil recovery methods are used to lower the viscosity of the oil ... See full document

... information and sent to NLG and converted into speech from text. NLG Module NLG module mainly consists of vocabulary, grammar and expressions for the generation of sentences. It is responsible for the generation of ... See full document

... insufficient data available, since the reliability of simulation output depends on quality and quantity of wells’ and reservoirs’ input ...included enhanced shale oil recovery (ESOR) ... See full document

... is based on the average income of households still does not cover on the different range of disadvantage on non-monetary ...items. Based on these trends, ANFIS is proposed to resolve on the highlighted ... See full document

... in prediction phase using same equations which are used in training ...base using these data and normalized the data set according to the network and the feed the data to the ... See full document

... Brown fields We expect that injection of diluted brine into a field with a waterdrive already underway will bring about production behaviour that is a superposition of the base-case profile and the diluted case profile. ... See full document

... algorithm based on the Bayes theorem and the assumption of feature ...the data into a high-dimensional space by identifying a lower dimensional hyperplane that separates the data using ... See full document

... the method of collecting data and condition assessment on the public highway bridges ...inspection data by the state departments of transportation (DOTs) is submitted to Federal Highway ... See full document

... the oil bank in front of it toward the production ...the oil in place has a higher viscosity than the injected water, the water will finger through this oil and result in a low sweep efficiency, or ... See full document

... by using fuzzy logic algorithm, the accuracy of oil palm fruit grading is quite ...graded using fuzzy logic. The oil palm is classified based on RGB ...The oil palm fruit grading ... See full document

... acoustical method of EOR (including ultrasonic EOR) is one of the most promising wave ...to enhanced production, is based on two aspects of sonication that are relevant (1) enhancement of the flow of ... See full document

... Chapter 7. Experimental study of oil-water-solid interfaces reproducibility. This could indicate that GZ is not a pure enzyme, but rather consists of several different components. Unlike GZ, NZ2 showed a ... See full document

... The ANFIS model seems to be a good approach to stun and undertake the limitations of the ANN model and sta- tistical forecasting approaches. The rudimentary learning law of ANFIS founded from the chain rule and gradient ... See full document

... index. Based on these characteristics, artificial intelligence and computational methods such as ANN, and ICA-– ANN were used to determine the energy characteris- tics, ...for prediction of ... See full document

... As the musical industry is rapidly growing, there is an increasing demand for digital platforms for production and consumption of music. With this digitization, a lot of data regarding artists and tracks is ... See full document