... geologist dataset log analysis variability prediction predictive accuracy gradient artificial intelligence machine learning variance sedimentary rock rock type reservoir characterization accuracy hyperparameter training and validation dataset saturation permeability iteration...

... dynamics drillstem testing permeability geology enhanced recovery reservoir stimulation variation completion flow profile liner completion reservoir pressure mogensen packer fluid gradient permeability variation grid size impact lel hole gradient acid uniform flow profile...

...., 2003 ; Datta-Gupta & King, 2007 ; Makhlouf, et al., 2013 ; Shirangi & Emerick, 2016 ). These methods achieve faster convergence compared to traditional gradient-based approaches by approximating the Hessian matrix using the sensitivity matrix. However, the computational cost of sensitivity...

... and the necessity 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...

... ultra-deep resistivity inversion pay-zone exposure paper real-time geomechanics field gradient formation "Sequence 3 contains a well-preserved channel valley towards the southern part and in the northern part. Infill of the channel consists of fluvial and tidal sandstones and point bar...

..., downhole equipment, and geothermal gradient. The choke model is based on literature correlations too. Choke performance curve is given by the manufacturer and is available to evaluate the equivalent opening diameter as a function of the choke opening in percentage. Since the operating conditions...

.... For this reason, the Capacitance Resistance Model (CRM) was chosen due to its intuitive form and flexibility in describing reservoirs of various complexities. Another part of the solution is represented by powerful machine learning methods such as Generalized Additive Models (GAM), Gradient Boosting...

... (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 of stochastic simplex approximated gradient (StoSAG) is used...

... dataset bvi complex reservoir log analysis machine learning saturation neural network well logging coefficient reservoir characterization prediction algorithm application gradient Introduction and Background Abstract Evaluation of petrophysical properties such as porosity...

... a commercial software platform and mathematical models (algorithms). The algorithms solve simultaneously dynamic pressure and temperature gradients (VLP) along with the choke equation to find the optimal solution rates that match physical sensor readings. Moreover, the tool manages the communication between...

... in a new way. Furthermore, the solution helps teams quickly identify and screen new opportunities that ultimately increase both subsurface understanding and the value of the field. The solution combines a quasi- Newton gradient based numerical optimization scheme with a stochastic simplex approximate...

... connection factor dynamic simulation gradient fluid composition grid Automatic creation of well connections Current situation The field model in dynamic simulation is presented as spatially discretized 3D grid. Thus all dynamic model's objects, including wells, are attached to the grid blocks...

... 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...

... data analysis reservoir aquifer influx waterflooding water cut data connectivity breakthrough time gradient enhanced recovery Upstream Oil & Gas Reservoir Connectivity Evaluation saturation log influx society of petroleum engineers Drillstem Testing drillstem/well testing area 4...

... 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...

... tilted contact field production Upstream Oil & Gas tilted fwl surface FWL gradient society of petroleum engineers Worldwide Tilted FWL Occurrences Tilted FWL are widely observed in many known fields e.g. in the US, Canada and South America ( Hubbert 1967 ). In the US the Hugoton...

... uncertainty. EnOpt is a simulator-independent technique which attempts to maximize an objective function by iteratively updating an ensemble of control variables along the direction of an estimated gradient. This method was applied for the control optimization of a 6-wells model inspired on a real field case...

... formulation gradient computation spe 148292 flow in porous media compressibility normal stress porosity stress change permeability equation Introduction Fluids withdrawal from stress sensitive reservoirs or incompetent formations can cause rock deformation. Although in some petroleum...

... Characterization seismic data green color hydrocarbon cloud carbonate reservoir gradient Amplitude variation equation 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...