...-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...

... to the reader. The business driver is to maximize operational efficiency and to create a safe operating environment using digitalization tools. This paper details the intelligent well and reservoir modelling steps, which consists of an Automated Objectives-Driven Workflow (AODW) and explains how these workflows...

... the OWC trends shallower from the heel to toe of the horizontal portion confirming the results from time-lapse contact information and contacts prediction from reservoir model. The other well drilled at western area, observed a mostly flat OWC throughout the horizontal section with slight tilting towards...

... reservoir surveillance calibration pumping schedule field experimental data reservoir model carbonate matrix stimulation modelling software reservoir acid efficiency calibration Introduction Conventional coreflood and rock dissolution tests were and are still one of the main and initial...

... reservoir simulation dynamic property well 1 perforation workflow u-net model flow simulator saturation dnn model flow in porous media upstream oil & gas time step realization realization 13 spe-205556-m reservoir model flow model dataset proxy model scenario permeability...

... multi rate test is important to predict the perforation efficiency. The empirical relation will be developed using machine learning. A simple gas reservoir model is built and then run with variations of reservoir permeability, perforation interval length, near wellbore permeability, and vertical...

... surveillance production logging drillstem testing waterflooding gas monetization reservoir simulator enhanced recovery modeling & simulation information fusion mechanism python script reservoir model co 2 schlumberger continuous value creation reservoir simulation field development...

... Abstract History matching is a challenging reverse problem due to the inherited uncertainty from Earth modeling. History matching process mandates building one or more sets of representative reservoir models with minimum misfit between the reservoir models and observed field data...

... drainage supercritical condition production improvement condensate production society of petroleum engineers thermal method local grid refinement upstream oil & gas prediction supercritical injection reservoir model bhfp Introduction The objective of this paper is to assess...

... Software and Model) The simulation environment utilized for this project was uniquely suited for this effort as it includes the ability to include very flexible conditional logic inside the reservoir model which is programmed in a FORTRAN-like language. This capability permits calculations...

... to both estimate the dynamics of the system and the behaviour for unseen inputs (such as well BHP or rate). The approach is demonstrated using 3 different reservoir models, including a realistic reservoir model using data taken from the Norne field. The NIROM simulations produce satisfactory predictions...

... of the domain expert (subject matter expert and field operator) working together with data scientist is very critical to this step that will lead to successful data-driven reservoir modeling to ensure the data conformance to the physical/theoretical understanding of reservoir engineering and field understanding...

... reservoir parameter reservoir distribution map reservoir model seismic inversion innovative method geo-cellular model reservoir Introduction Increasing recovery has been at the heart of oil production from subsurface reservoirs. Considering the possibilities of increasing average oil...

... and high temperature sour gas field. production monitoring Upstream Oil & Gas Modeling & Simulation Reservoir Surveillance pressure data optimization OGIP reservoir model reservoir pressure gas deliverability reservoir drillstem/well testing temperature drop rate transient...

... unit. In highly heterogenous reservoirs, this approach may lead to under-estimation or over-estimation of permeabilities, since a homogenous layer doesn't consider the vertical heterogeneity within the layer. Hence, to address the vertical heterogeneity, multi-layer reservoir model is used in pressure...

... Exhibition reservoir fluid fluid property quantitative interpretation workflow temperature data production monitoring Upstream Oil & Gas reservoir property interpretation wellbore inflow profile permeability temperature trace transient analysis reservoir reservoir model society...

... in producing significant oil gains. Continuous monitoring is still needed to further match optimization forecast with actual conditions. Long-term plans, some improvements are still needed in the reservoir model, one of which is OOIP value, there is a possibility that the actual X OOIP is bigger than the one...

... with two porosity pseudo steady state reservoir model and constant pressure circle boundary model. The reservoir pressure is 1962 Psia with permeability of 1.45 mD, fracture coefficient of 50 mD-ft, storativity of 0.51 and interporosity flow coefficient of 4.38×10-6 mD-ft, and also skin of −0.52...

... enhancement effects such as matrix stimulation will be shown separately in a future publication. Understanding of chemical reaction with matrix should be important in actual implementation in a fluid selection of multi-lateral type completions. The reservoir model is formed as the sector model (1.5 km...

... of experiments) to generate probabilistic forecasts of field responses. However, conventional experimental design workflows are based on simulations of a single field and are often completed without coupling the reservoir model to a production network model. This paper will discuss the improvements...