... prediction fuzzy logic dht technology downhole tool evaluate equivalent correlation coefficient artificial neural network operation drilling operation fuzzy inference system new technology ECD value neural network formation pressure Drilling society of petroleum engineers Introduction...

..., and artificial lift systems. For these reasons, there is a need for a quick and reliable method for predicting the well IPR in gas reservoirs. This study presents back propagation network (BPN) and fuzzy logic (FL) techniques for predicting IPR for a gas reservoir. These models involved 489 data points from...

... speed (RPM), rate of penetration (ROP), mud weight (MW), bulk density (RHOB), porosity (ϕ) and compressional time (Δt). A real field data is used to predict the formation pressure using Fuzzy Logic (FL) which is one technique of AI. Fuzzy Logic (FL) tool was compared with different empirical models. FL...

... derived data which is not a very precise representation and hence no consensus exists among log analysts about which model can be universally used. The use of computer generated algorithms, fuzzy logic and neural networking is picking up pace in the petroleum industry. Consequently, in this paper we show...

... equipment, and artificial lift systems. For these reasons, there is a need for a quick and reliable method for predicting oil well IPR in solution gas drive reservoirs. In this paper, back propagation network (BPN) and fuzzy logic (FL) techniques are used to predict oil well IPR in solution gas drive...

...-MS Abdulraheem , A. , Sabakhy , E. , Ahmed , M. , Vantala , A. , Raharja , P.D. , Korvin , G. 2007 . Estimation of Permeability from Wireline Logs in a Middle Eastern Carbonate Reservoir Using Fuzzy Logic , in: SPE Middle East Oil and Gas Show and Conference. Society...

... wellbore were considered to develop effective models. To ensure a high level of model reliability, more than 220 data set was used for training and testing the proposed models. Temperature distribution was determined using the neural network, fuzzy logic system, and generalized intelligent networks...

... intelligence techniques are implemented to predict Z-factor. These techniques are neural network, radial basis function network, fuzzy logic, functional network, and support vector machine. To build and test these techniques, Standing-Katz charts data was used in which about 70% of the data was used...

... percentage error and 0.998 R 2 . fuzzy logic DREC hydraulic fracturing strength Artificial Intelligence Upstream Oil & Gas variance Elkatatny artificial neural network closure stress rock strength fracture conductivity machine learning neural network correlation prediction acid...

... (the average absolute error (3.9%) and the coefficient of determination (R 2 ) of 0.98) Artificial Intelligence bubble point pressure machine learning Upstream Oil & Gas fuzzy logic oil gravity neural network bpp prediction prediction correlation gravity artificial neural network ANN...

... (R 2 ). The developed technique can be useful for geo-mechanical engineers to determine continuous failure parameters profiles throughout the desired depth, when no laboratory tests are available. fuzzy logic Artificial Intelligence failure parameter correlation Upstream Oil & Gas...

... be misleading because history matching is a non-unique solution and different history matched models may give different prediction results. This paper presents a workflow using the fuzzy logic approach that combines history matching uncertainties with field performance data to help generate a confidence index...

... Interval type-2 fuzzy sets are the most widely used type-2 fuzzy sets because they are easy to use and implement. It is a special form of type-2 fuzzy sets. In this interval type-2 fuzzy set, all secondary grades (flags) equal to 1 [ 8 ]. Generally, a type-2 fuzzy logic system contains five...

... with fuzzy logic, a robust decision-making tool has been designed to help engineers implement efficient and optimized injection strategies. The prowess of fuzzy logic is that it simulates human thinking. It can handle different categories of information such as linguistic, imprecise, approximate...

... performance of the available choke correlations in literature with five AI techniques. 162 data points were used to develop five AI models for predicting the gas flow rate. The data were fed to the five AI techniques Artificial Neural Network (ANN), Fuzzy Logic (FL), Support Vector Machine (SVM), Functional...

.... These techniques applied in different upstream fields have provided fast, robust and reliable numerical models in a variety of areas, e.g., geological modeling, reservoir engineering, petrophysics and well testing. This paper describes the utilization of Fuzzy Logic, which is one of the famous AI techniques...

... also obtained. Three artificial intelligence methods viz. Neural Network, Fuzzy Logic and Functional Network, were used to obtain a continuous profile of static elastic parameters along the depth. The results obtained from these approaches were compared using log inputs. The strengths of each...