... 608 wells into predictive models that estimate rock and fluid properties, validate subsurface analyses, and reduce uncertainty. COREAI has been deployed in 25 fields, achieving significant cost savings, enhancing reservoir modeling, and optimizing field development, particularly for marginal fields...

... temperature and spectral acoustic logging with subsequent numerical modeling of hydrodynamics and thermal processes in a coupled fashion to access the performance of individual reservoir layers of injection wells. The methodology addressing these complexities was developed and its feasibility and robustness...

...-dimensional (3D) geomechanical model was constructed by integrating reservoir models with well data. Machine learning techniques were utilized to create a three-dimensional distribution of geomechanical properties, capturing their heterogeneity. Following the construction of the 3D geomechanical model...

... and addressed. First, a corrosion-based cement damage model was developed to assess CO 2 leakage risks through cement sheath/plug based on the stress corrosion crack theory, which implies mechanical and chemical corrosion effects on mechanical materials (i.e., chemical-mechanical coupling). Thus, the stress...

..., generating models that honor the input data ( Hameed et al., 2011 ). Additionally, the method provides a solution to the problem of non-uniqueness of the results, based on a statistical distribution of the multiple realizations derived from the initial model. This work proposes a flow that integrates...

... necessary mitigation actions to avoid injectivity issue due to CO 2 Hydrate formation. This work will also address the challenges associated with the numerical modeling of hydrate formation and dissociation, such as accurate thermodynamic modeling and phase equilibrium predictions. The results from...

... production and effective CO 2 storage volume as main objective parameters were optimized. A full compositional dynamic model with proper CO 2 storage features was constructed. The recycling option of produced CO 2 was activated between gas producers and CO 2 injectors in the model. Two CO 2 tracers...

.... This integrated approach, combining structural understanding, sedimentological context, and seismic attribute analysis, provides a comprehensive perspective on the distribution of siliciclastic reservoirs bounded by faults and carbonate reefs. A detailed 3D grid geological model was constructed to visualize...

... with continuous acid dissolution. This continuum needs to be understood through integrated modeling and experimentation at the yard-scale, and field-scale perspectives. An advanced numerical model was used to analyze the width development in varying calcite/dolomite fractions and acid concentrations. A robust...

... minerology. Effective prediction of biogenic reservoir souring using computer models is essential when undertaking major technical and economic decisions regarding field development. For H 2 S concentration calculation PETRONAS utilized in-house stand-alone modeling tool that considers physicochemical...

... Asphaltene Inhibitor numerical models were reproduced to assess how Asphaltene Inhibitors mitigating asphaltene risks. A numerical model assuming no Asphaltene Inhibitor was built as reference by calibrating with conventional Pressure Volume Temperature (PVT) experimental results and asphaltene onset...

... measures. The risks can be harmful in the long run if not mitigated properly. The current condition encourages us to conduct more comprehensive study on tubular degradation. It is to model the multiple degradation mechanisms, such as corrosion, scaling, and subsidence, under the flowing formation fluid...

... 10143 blocks including inactive blocks, which greatly reduces the heavy computation time of chemical enhanced oil recovery simulation on digital rock and makes the proposed method more practical in routine analysis and modeling. artificial intelligence chemical flooding methods complex reservoir...

... wells drilled during previous campaigns. The development wells were planned to drill with high inclinations (up to 70 0 ), through weak coal layers and cross major fault. The drilling problems of the offset wells were critically analyzed to understand the mechanisms of failures. A geomechanical model...

... Abstract Petrophysical facies modeling plays a key role in reservoir characterization at all levels. At a well level it helps to delineate the layers on basis of certain similar rock physics characteristics, which further can be used in reservoir engineering computations that include layer wise...

... of the coupled non-linear equation to two scaling optimization parameters: a mass scaling factor to scale the recovery factor and time scaling factor to scale the diffusion time. We verify our model with a field case from KLX field, Indonesia. This gas field produces an enormous amount of gas with subsidence...

... the method difficult and time consuming to implement with little added value for risk mitigation and proper decision making. Probabilistic modeling using dynamic simulation models has been adopted in recent decades to address the variations in forecasted production profiles and to capture the uncertainties...

... the value of the asset. As such, this paper will focus on the methodology of formulating this optimized development plan to incorporate subsurface and surface network modeling and demonstrate the importance of this system for excellent asset management and future development. A series of reservoir...

... of the current SRV estimation methods are either expensive or time-consuming. In this paper, a 3D mathematical model of SRV is established by simulating the four key processes—multiple hydraulic fractures propagation, reservoir pressure lifting, formation stress variation and natural fractures failure—during...

... Abstract This case study reports a comprehensive sanding study program for two offshore gas-condensate fields. The results from geomechanics laboratory testing and modeling of sand production were implemented into real-time monitoring of production wells using the Production Data Management...