... waterflooding sustainable development geothermal reservoir pressure transient analysis injection scenario permeability cold water injection sustainability social responsibility climate change requirement reservoir modelling effect simulation sustainable energy review geothermal pressure...

...Case Study Reservoir Model asset and portfolio management machine learning upstream oil & gas artificial intelligence reservoir optimization problem uae government asia government optimization simulation experiment 2 iteration middle east trajectory optimization...

... production kinetix workflow well logging saturation history permeability petroleum engineer reservoir characterization asset and portfolio management reservoir centric fracturing approach pulsar technology simulation integrating pulsar technology mature tight oil field interpretation...

... seismic anomalies were validated as 4D signal mainly corresponding to 4D P-impedance increase which were nicely matched with water cut observed at wells and with water saturation from reservoir simulation. As a general observation, the water rise observed in 4D seismic inversion results was higher...

... of compositional reservoir simulation. asia government calculation neural network machine learning upstream oil & gas china government pvt measurement artificial intelligence prediction molar composition reduction diagram accuracy simulation application fraction mole fraction procedure...

... as a workflow with any existing reservoir simulator for optimal WAG parameters to maximize reservoir life cycle cumulative recoveries. The reservoir simulator is treated as a sample generator to form an ensemble of recovery scenarios with the WAG parameters as inputs to a dense neural network (DNN) and outputs...

... The scheme is made of three different coupled segments: wellbore, choke and well jumper (a segment connecting the choke to the manifold). The nodal points correspond to the position of the gauges along the flow lines. For each segment, it is possible to set an inlet pressure and simulate...

... using the high-fidelity simulators (HFS) for such optimization in terms of computational cost and optimal results obtained. One of the proxy models is embed to control and observe (E2CO), a deep learning-based model, and the other model is a kernel-based proxy, least-squares support-vector regression...

... simulator to understand and quantify the tracer flows in vuggy carbonates. Their study analysed three crucial parameters, including the vugs’ total amount, size, and spatial distribution. It was found that although the presence and amount of vugs do not change the effective permeability of the formation...

...Method & Workflow Dissect the dynamic model In this context, the company has approached a number of third parties to bring in solutions in this domain with the objective to; Test and understand how easy it is to set-up and operate AI simulator in house. Understanding...

... is crucial for forecasting possible biogenic hydrogen sulphide (H 2 S) formation and foreseeing the relating impacts over completion and facility material selection and on health, safety and environment (HSE) management. Traditional numerical simulations through stand-alone models do not consider...

... depends on the representativeness of the data. The quality of the generated models is based on the data interpreted and integrated aimed to build computational realizations of petroleum reservoirs. Reservoir dynamic simulation is the most applied process that integrates all reservoir data, where...

... region using reservoir simulation. This method is used to plan the location of future wells during the long term development plan and maximize NPV and recovery. Two scenarios of well location will be examined. The first scenario consists of optimizing well location using a single VRR metric for the whole...

... of a barrier (structural or stratigraphic) prevents the water from being moved out, the water will remain where it is ( figure 1 ). Upstream Oil & Gas OWC production behavior water production reservoir model Simulation MSSL water accumulation reservoir water phenomenon enhanced recovery...

... through core studies; Lithological logs analysis at field scale; Identification of the possible hydrological processes relevant to the most significant diageneticminerals, i.e. dolomite and anhydrite; Reactive transport quantitative simulations: 3D modelling of the dolomitization...

... amount of CO 2 produced should be continuously reinjected into the reservoir. This work investigates the effect of CO 2 content on the low salinity water alternating CO 2 injection technique (CO 2 LSWAG) using a commercial compositional reservoir simulator. In these field-scale simulations, CO 2...

... In this paper we explore if flow diagnostics can be used to detect subtle differences in reservoir dynamics arising from different model initialisations, due to changes in reservoir rock typing methods, in the same way a full-physics Black Oil simulation does. Flow diagnostics are fast screening...

.... The generated deltaic model was used in this paper for simulation studies of CO 2 storage in saline aquifers. Two different approaches of invasion percolation (IP) and compositional simulation were considered for this purpose. IP models ( Wilkinson and Willemsen 1983 ; Berkowitz and Balberg 1993 ; Sahimi...

... The present paper aims to illustrate the ability of the LBM for simulating complex systems compared to continuum fluid mechanics. In the following section, brief descriptions of both LBM and continuum fluid mechanics are presented. It is shown that the LBM model can provide more descriptive fluid...

... Abstract In order to massively enhance the performance of heterogeneous SAGD projects, the targeted Electrical-Heating in poor steam chamber segment assisted SAGD (EH-SAGD) was proposed, the simulation method was established coupling geo-mechanics of both payzone and interbeds, and delivery...