... advances in deep learning based on deep neural networks, convolutional neural networks, and autoencoders to create machine-learning-based proxy models that predict production and injection profiles as well as the bottomhole pressure of all wells. Thus, the proposed workflows replace the time-consuming...

... interpreted results in accordance with production/injection performance and other surveillance data. Integrated history matching yields better results compared with typical workflow and modification of dynamic model. For several tough problems such as layer-cake reservoir with bottom aquifer, profile tuning...

... reservoir behaviors and update flux boundary conditions when required. The description of the history match workflow is shown in Figure 3 . Figure 4 , shows the full field model to sector breakdown used for history match purposes. An explanation of each of the steps in the workflow follows below: Step 1...

... to a porosity cutoff, as well as vertical permeability, which is dependent of horizontal permeability from the static realizations. Relative permeabilities were defined as Corey correlations, allowing endpoints and exponents to be varied in the uncertainty workflow. Initial water saturation, residual gas...

... characterization and saturation height modeling (SHM). Workflows involving Pc data are time consuming and interpretively biased. We aim to enhance these workflows’ efficiency and reduce the interpretation bias by automating the Pc-based pore network characterization and applying machine learning (ML) to capillary...

... saturation monitoring. A unique modeling approaches was applied to characterize the studied tight reservoir and evaluate the reserves based on advanced uncertainty analysis. A hydraulic fracturing design workflow in a reservoir centric stimulation to production software was developed using an integrated...

... To better understand the applied methodology, some definitions need to be introduced and summarised before presenting the adjoint-based rock typing workflow. The two main definitions are the meaning of rock type and geological consistency. These terms can come from several disciplines...

... - The adopted workflow itself and its implementation in real cases. The application of this specific workflow targeted tight green fields with many uncertainty parameters, mainly two importantuncertainties: Structural uncertainty from the static point of view, and well hydraulic fracturing...

... with depth in the presence of multiple samples is critical for reservoir simulation and hydrocarbon initially in place assessment, and, on the other hand, a technically challenging task. In this paper, we present an automated workflow integrated in a commercial exploration and production (E&P) software...

... to: Identify the peculiar behaviour of each area of the reservoir. Validate and optimize the identified reservoir management strategy. Support reservoir studies. In-house standard PDA workflow consists of 5 steps ( Figure 1 ): Raw data organization: all available data are collected, quality...

... characterization modeling logging while drilling drilling measurement boundary structural geology lwd log analysis resistivity interpretation scenario anhydrite thickness anisotropy bed boundary mapper unveiling reservoir architecture workflow evaluation porosity annual logging symposium...

... 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...

... Abstract The sector screening review is a surveillance tool used to assess and find opportunities to increase the oil production and improve the performance of the reservoir. We developed a novel interdisciplinary workflow (geology-engineering) integrating dynamic and static data in order...

... excessive pressure buildup due to injection can potentially induce fracturing of the cap-rock, or activate pre-existing faults, through which fluid can leak. In this study, we build a Deep Learning (DL) workflow to effectively infer the storage potential of CO 2 in deep saline aquifers. Specifically...

... real time system resistivity inversion enabled new opportunity gradient formation inversion drilling measurement sequence workflow real-time geomechanics Introduction Poisson attributes in the well section show that the deviated part of well MN-1 passes through a moderate to low Poisson...

... interpretation upstream oil & gas artificial intelligence reservoir characterization ml algorithm petrophysics limitation reservoir characteristic permeability petrophysics interpretation upside workflow presentation malaysia government log analysis dataset selection casing opportunity...

... The results of the oil recovery experiments are plotted in Figures 4 to 6 . These estimated recoveries were determined based on an optimized workflow that will be presented in the following section. Beside rate effects, the results demonstrate the significance of throughput and replications...

..., results in reduction in the reserve range in P90 to P10. Based on ±150 Psi principle, the subsurface parameter ranges are furthered reformed for full field uncertainty study/run. The industry standard workflow is followed to quantify the subsurface parameters during this phase. In this study, we used...

... In the new subsurface modeling workflow, first a Subsurface Model is created. A Subsurface Model can consist of many concepts (scenarios). Each concept is a plausible scenario of the subsurface, which in turn consists of a chain of many models from stratigraphy model, structural-, fault-, fluid...

... watercut. The 300m spacing is now completed. In recent years, the field implemented a peripheral waterflood pilot scheme, in an attempt to improve the sweep efficiency in the reservoir. ( Figure 2 ) Locate-The-Remaining-Oil workflow Business case for a modern LTRO approach Ten years...