... the given input and output parameters. In this study, symbolic regression (SR), decision tree (DT), random forest (RF), extremely randomized trees (ERT), adaptive boosting (AdaBoost), gradient boosting (GB), extreme gradient boosting (XGBoost), artificial neural network (ANN), and deep neural network (DNN...

... of accounting for uncertainties, among other reasons. In this work we employ TNO’s EVEReST optimization technology leveraging the StoSAG stochastic gradient-based method to achieve optimized solutions in computationally efficient manner. Besides its computational attractiveness, the StoSAG method also renders...

... real time system resistivity inversion enabled new opportunity gradient formation inversion drilling measurement sequence workflow real-time geomechanics Introduction The Minagish field is in the south-western part of the Arabian basin, in an onshore position in Kuwait. The field...

... equation variation mpfm calibration exhibition flow metering production monitoring simulation rtvfm advanced thermo-fluid dynamic well model constraint gradient numerical estimation Introduction The measurements of well flow rates are essential data for oil and gas operators...

... of the solution is represented by powerful machine learning methods such as Generalized Additive Models (GAM), Gradient Boosting, and Convolutional and Recurrent Neural Networks. Neural Networks and Gradient Boosting methods are very popular machine learning techniques. However, in this work, it is demonstrated...

... are constructed by using two different types of proxy models. The gradient of the objective function as well as the Jacobian matrix of constraints are computed analytically for the LS-SVR, whereas the method of stochastic simplex approximated gradient (StoSAG) is used for optimization with E2CO and HFS...

... Drainage strategy optimization under geological uncertainty, was first addressed by Van Essen ( Van Essen, et al., 2009 ) using an adjoint technique to evaluate the gradient in the optimization algorithm. A practical challenge with adjoint methods, however, is that they are intrusive in terms...

... on wellbore modeling for dynamic gradient calculation (pressure and temperature) and choke calculation. Major outcomes are the workflow description of RTVFM: Virtual Metering workflow, real-time production calculation and the implementation in the Digital Oilfield (DOF) framework. The results of a real...

... composition grid dimension composition VFP table connection factor pressure drop intersection dynamic simulation gradient calculation dynamic model perforation wellbore Automatic creation of well connections Current situation The field model in dynamic simulation is presented...

... hysteresis models and proposes an alternative formulation, where the gradient of the intermediate scanning curves matches the gradient of the bounding drainage curve. This feature prevents a discontinuity in the derivative of capillary pressure that occurs at exactly the conditions in a transition zone where...

.... waterflooding Reservoir Characterization structural geology enhanced recovery Upstream Oil & Gas Drillstem Testing drillstem/well testing area 4 water cut area 3 aquifer breakthrough time water cut data connectivity breakthrough time gradient aquifer influx analysis data analysis reservoir...

... Gradient-based optimization methods use the information provided by the objective function derivatives to update the control variables. The gradient can be evaluated using methods based on finite difference approximation ( Yeten et al., 2004 ; Wang et al., 2009 ), although the computational cost...

... the hydrocarbon zone, the hydrodynamic method based on the hydrodynamic principle is recommended. Upstream Oil & Gas Reservoir Characterization tilted fwl surface water zone FWL gradient society of petroleum engineers pressure distribution aquifer hydrocarbon zone static method asset...

... of electrical charge occurs in response to gradients in pressure (Electrokinetic), chemical composition (Electrochemical), or temperature (Thermoelectric). In spite of it being discovered 70 years ago, unfortunately little work has been done to find measurable value especially for thermoelectric coupling...

... upstream oil & gas pressure equation reservoir simulation modeling simulator calculation compaction mathematical formulation fluid flow time step computation flow in porous media compressibility normal stress porosity formulation spe 148292 permeability gradient stress change...

... previous studies. In a previous work ( Lorentzen et al., 2009 ), a set of history matched models were obtained using the ensemble Kalman filter. We will use these models to investigate the effect of formulation and initial guess on gradient based optimization methods. Within production optimization, most...

... hydrocarbon gradient Amplitude variation reservoir equation CMP gather cloud saturation carbonate reservoir Introduction Seismic amplitude responses are affected by the type of rocks present, the degree of consolidation, the saturating fluids plus rock properties such as porosity...

... Abstract Optimization on large scale reservoir models may be prohibitive in terms of run-time. The adjoint based method is an efficient way to compute gradients in such systems. The presence of state constraints however may be detrimental to computational efficiency. In this paper we explore...