... to their simplicity. One advantage of AdaBoost is that it can be applied on top of the other models to improve their performance. In that case, AdaBoost learns the other model’s weaknesses and produces a more accurate model. Gradient Boosting Algorithm The gradient boosting algorithm is one of the most used...

... experiment comparison producer experiment 1 injector incremental npv drilling sequence multi-reservoir carbonate field reservoir simulation gradient Introduction In most real-world problems, decisions are taken based on a model-based representation of the physical system. These models...

... real time system resistivity inversion enabled new opportunity gradient formation inversion drilling measurement sequence workflow real-time geomechanics Introduction Poisson attributes in the well section show that the deviated part of well MN-1 passes through a moderate to low Poisson...

... the outlet pressure. The same approach can be used also with thermal gradient evaluation in the wellbore, extending the number of available equations up to four and adding one more constraint to the solution. This is what have been implemented in this work: the flowing tubing head temperature (FTHT...

... 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 field liquid production rate (FLPR) and field water production rate (FWPR). NPV, FLPR, and FWPR 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...

... 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...

... drillstem/well testing Upstream Oil & Gas phase composition simulator fluid composition grid dimension composition VFP table connection factor pressure drop intersection dynamic simulation gradient calculation dynamic model perforation wellbore Automatic creation of well connections...

... 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...

... area 3 aquifer breakthrough time water cut data connectivity breakthrough time gradient aquifer influx analysis data analysis reservoir aquifer influx Reservoir Connectivity Evaluation saturation log influx society of petroleum engineers Introduction Among the classic models used...

... 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...

.... Upstream Oil & Gas Reservoir Characterization tilted fwl surface water zone FWL gradient society of petroleum engineers pressure distribution aquifer hydrocarbon zone static method asset and portfolio management tilted fwl hydrodynamic method field development optimization and planning...

... 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...

... modeling real seismic data intercept log data water saturation AVA response AVA analysis Reservoir Characterization seismic data green color hydrocarbon gradient Amplitude variation reservoir equation CMP gather cloud saturation carbonate reservoir Introduction Seismic amplitude...

... 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...

... 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...