.... The approach consists of a fuzzy logic algorithm to categorize acquired surface data and a real-time classifier to be trained. The score calculated by the fuzzy algorithm is mapped into five categories, which serve as labels for training validation and test data. A Long Short-Term Memory (LSTM) and a decision...

... geology rock type big data uae government artificial intelligence reservoir geomechanics application abdulraheem algorithm presented efficiency rop prediction accuracy drilling data fuzzy logic data mining geological subdiscipline prediction onepetro mahmoud sensor elkatatny machine...

... reservoir geomechanics elkatatny petroleum engineer machine learning advisory system geology directional drilling machine learning torsional vibration dataset gamal artificial neural network united states government fuzzy logic geological subdiscipline abdulraheem correlation coefficient...

... application of a chemical EOR project. fuzzy logic machine learning abu-khamsin kamal artificial intelligence surfactant adsorption mineral gemini surfactant upstream oil & gas enhanced recovery surfactant dataset surfactant concentration decision tree learning chemical flooding...

... were used in obtaining the 111 experimental data-points. Results show that, the proposed BDTR model outperforms the best empirical correlations and the fuzzy logic model used in estimating H L in gas-liquid multiphase flows. For the built model, the most important input feature in estimating H L...

..., parameters and types of inputs of ANN to achieve higher ROP prediction accuracy. By utilizing the developed model, we can efficiently maximize ROP and minimize the drilling operation cost. fuzzy logic artificial intelligence rop prediction accuracy machine learning neural network drilling...

... of neural networks and fuzzy logic networks and could be used to create a robust ROP model. The objective of this study is to apply the ANFIS method and compare the modeling results with conventional artificial neural network models. ANFIS trains the model using a set amount of data and then validates...

... optimization algorithm response surface machine learning Upstream Oil & Gas fuzzy logic objective function surrogate model well placement reservoir asrm Optimization Approach placement search space Artificial Intelligence constraint optimization simulation run evolutionary algorithm well...

... ESP pumps which were running smoothly and five ESP systems that eventually failed. For the failed ESPs the operational data leading up to the failure was analyzed. Trends were analyzed for periods of 7 days, 30 days and 60 days for each ESP system. Artificial Intelligence fuzzy logic...

... empirical correlation is developed using the weights of ANN model in order to make the AI black box model as a white box and universal that can be usable for field applications. machine learning Artificial Intelligence fuzzy logic neural network Upstream Oil & Gas shear wave travel time...

.... tight gas slippage adaptive neuro-fuzzy inference system fuzzy logic node natural fracture coefficient differential horizontal stress hydraulic fracturing Upstream Oil & Gas criterion dilation Artificial Intelligence interface hydraulic fracture interaction pattern complex reservoir...

... technologies. The combined use of those technologies will result effective problem solving approach when compared with single technology alone. For example, Adaptive Neuro Fuzzy Inference System (ANFIS) is a hybrid both Artificial Neural Network (ANN) and Fuzzy Logic (FL). ANFIS involves adaptive learning...

... injection profile thickness anfis machine learning neural network upstream oil & gas injector algorithm artificial intelligence sand thickness two-step method fuzzy inference system injection profile prediction net thickness injectivity relative water injectivity fuzzy logic...

... Abstract Several areas of the geosciences have benefitted from the application of the new mathematics of "fuzzy logic" (Nordlund 1 ; Cuddy 2 ). BP routinely uses new interpretation techniques, based on fuzzy logic, to predict permeability and litho-facies in uncored wells. Litho-facies...