... + ν ( T m σ o ) ( 3 β K m ∇ * 2 T * ) = 0 electrode sustainability upstream oil & gas complex reservoir sustainable development social responsibility equation interface heating conversion hydrogen frequency heating reservoir...

... carbonate reservoir reservoir simulation stakeholder communication allocation Abstract & Introduction Agile Project Management has received a significant amount of attention in the oil and gas industry over the past five years. Companies have increasingly focused on digitalisation...

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... media enhanced recovery aquifer fracture scenario integrity upstream oil & gas containment confidence reservoir simulation risk management reservoir characterization injection permeability injectivity assessment Introduction Most countries signed the Paris Agreement...

... conformance improvement wct upstream oil & gas flow in porous media enhanced recovery fluid dynamics reservoir simulation reservoir surveillance oilfield wellhead yu qitai algorithm accuracy modeling prediction accuracy development machine learning data-driven prediction method petroleum...

... in region-wise pressure by coupling with movement of Injected water. Generate distribution of Voidage replacement ratio and injection efficiency in different regions of the reservoir. reservoir simulation reservoir enhanced recovery injection upstream oil & gas equation of state...

... of reservoir parameters and have a robust reservoir model(s). Reservoir permeability is one of the most critical, and usually, uncertain parameters in reservoir simulation models. The permeability model has a direct impact on production forecasts and consequently the economics of decisions made based...

... scenarios proved to be key to reach all of these objectives. fluid dynamics ensemble risk management machine learning realization permeability upstream oil & gas flow in porous media artificial intelligence workflow facies reservoir simulation modeling & simulation reservoir...

... with artificial fracture orientation and geometry. In this study, a new workflow to model the hydraulic fractures using EDFM (Embedded Discrete Fracture Model) is developed to couple with the Nexus reservoir simulator for the first time. Borrowed from the dual continuum concept, the main idea of EDFM is the non...

... geomodels and reservoir simulations that require long engineering time but help to assess accurately the low and high case profiles integrating the main geosciences and reservoir uncertainties. The second option is to use Decline Curve Analysis (DCA) with a reduced engineering time. Nevertheless...

... Reservoir simulation is (mostly) memory bandwidth limited, i.e., performance is essentially governed by how fast data moves from memory to the arithmetic units rather than how fast these can perform calculations. For example, a good quality full-GPU simulator running on a single high end server...

... properties like porosity, water saturation, etc. These in turn will create hundreds of possible scenarios during History Matching. Using python scripting embedded in the reservoir simulator and the agile reservoir modeling (ARM) approach, these uncertainties can be handled quickly, and each ensemble can...

... environment which allows integration of the data and domain workflows. PTS enables the team to build and conduct their reservoir engineering dynamic studies in the cloud-based environment. Multiple reservoir simulation runs using the cloud numerical simulation engines are performed concurrently, providing...

... Production back allocation is generally divided into two parts as follows: Abstract Quality of commingled production data and reliability of back-allocation from stacked reservoirs with numerous platforms, wells, and strings play an important role in reservoir simulation modeling for history matching...

... dynamics optimization problem scaling method reservoir characterization grid artificial intelligence machine learning nuc grid algorithm evolution iteration sequence optimization algorithm reservoir simulation enhanced recovery optimization workflow transmissibility flow diagnostic...

... laboratory data into a scripted chemical reaction program that was coupled with a numerical reservoir simulator. Prior to well modelling, laboratory coreflooding data were validated. To properly represent the mechanistic process with a chemical reaction approach and capture the near wellbore effect, a single...

..., the proposed model gives the lowest average absolute pressure error (2%) and standard deviation (4.5%) for the tested 279 field data points. reservoir simulation production control estimation reservoir surveillance void fraction production logging transition gradient regime petroleum engineer...

... an application of ML to develop surrogate reservoir models that are based on simple neural networks. The authors used inputs such as well identifiers, static reservoir properties, and dynamic data to predict annual oil rate production. These ML models were then used to replace a numerical reservoir simulator...

.... Examples of compositional models include Galvan et al. (2015) , Torrens et al. (2015) , Efimov et al. (2015) , Perez et al. (2017) , Hoda et al. (2017) . All these studies made use of compositional network models to interface with compositional reservoir simulators. In reservoirs with vertical...

... upstream oil & gas reservoir conformance improvement completion installation and operations reservoir simulation waterflooding modeling & simulation production control criteria reservoir surveillance reservoir characterization streamline fraction reduction production monitoring...