...Shashvat Doorwar; Prakash Purswani; Anil Ambastha; Lokendra Jain; Sophany Thach Summary Capturing the correct reservoir heterogeneity in a geological model is critical for designing and accurately forecasting expected production benefits from improved/enhanced oil recovery processes. In simple...

... storage because of the favorable formation properties for injection and containment of CO 2 . Deltaic formations are one of the primary targeted depositional environments in the Gulf Coast. In this paper, we investigate CO 2 storage in deltaic saline aquifers through a combination of geological modeling...

.... reservoir characterization geologic modeling data mining machine learning geological modeling artificial intelligence spatial reasoning structural geology complex reservoir upstream oil & gas truth model accuracy porosity weighted tree model volumetric fraction decision tree model...

... 10 2 2021 Copyright © 2021 Society of Petroleum Engineers geological modeling production control reservoir surveillance machine learning flow in porous media chemical flooding methods directional drilling artificial intelligence optimization problem drilling operation geologic...

... 3 7 2020 23 9 2020 12 11 2020 Copyright © 2020 Society of Petroleum Engineers geologic modeling fluid modeling production control artificial intelligence equation of state waterflooding reservoir characterization reservoir surveillance risk and uncertainty assessment...

... method and the electrical method. 26 9 2019 2 4 2020 31 3 2020 22 6 2020 12 11 2020 Copyright © 2020 Society of Petroleum Engineers geological modeling geologic modeling reservoir characterization enhanced recovery artificial intelligence reservoir...

... analysis bulk density formation evaluation structural geology geological modeling geologic modeling us government Fig. 2 illustrates the proposed workflow for a given well. The subsequent sections will explain in more detail each one of the main steps required by the introduced PEF...

... 13 8 2020 Copyright © 2020 Society of Petroleum Engineers geologic modeling Reservoir Characterization Thickness geological modeling Upstream Oil & Gas Modeling & Simulation Artificial Intelligence facies continuous ntg property Bowen Basin Proportion variogram range...

... geological modeling complex reservoir matrix block edkm transmissibility saturation geologic modeling reservoir simulator permeability scaling method university Brazilian presalt reservoirs are important recent oil discoveries and are mainly associated with carbonate‐depositional...

... the performance forecasts of a planned miscible water alternating gas (MWAG) injection process. Different geological models for the reservoir were designed by integrating static and dynamic data. These data indicated the need to consider fault‐related fractures using effective medium theory (EMT) and to update...

... intervals: (12) z ˜ * ( u ) α = [ z ˜ * ( u ) α L ,   z ˜ * ( u ) α U ] . geological modeling geologic modeling Reservoir Characterization Upstream Oil & Gas optimization problem fuzzy logic porosity Artificial Intelligence...

...-assisted gravity drainage decision maker response variable geological modeling SAGD decision-making model geostatistical realization reservoir manager mvc efficient frontier geologic modeling Artificial Intelligence Upstream Oil & Gas payoff utility function SPE Reservoir Evaluation...

... Monte Carlo simulation development scenario uncertain parameter experimental design strategic planning and management production monitoring reservoir characterization geological modeling reservoir surveillance modeling & simulation geologic modeling enhanced recovery production control...

... then serve as an indicator for the performance of new infill wells in different locations. Portions of the content of this paper were initially presented in Holanda et al. (2018b), and are further developed and reviewed here. geological modeling production monitoring Upstream Oil & Gas production...

... 1 2 2019 Copyright 2019, Society of Petroleum Engineers geological modeling geologic modeling Artificial Intelligence SAGD vertical permeability anomaly thermal method enhanced recovery Upstream Oil & Gas Reservoir Characterization steam-assisted gravity drainage steam...

..., which then was used with the 3D grid construction for pattern generation of 3D facies distribution. The resulting training image represents a numerical geological model that contains 3D information about the reservoir's geological heterogeneity and structure. The facies pattern was then considered...

.... Note that, for every cycle, the HM is always performed with the original set M, so any misleading parameter changes from previous cycles (because HM is an ill-posed problem) do not propagate into future cycles. geological modeling cycle 1 geologic modeling Upstream Oil & Gas ps 2...

... 2017 Copyright 2017, Society of Petroleum Engineers Reservoir Characterization geological modeling geologic modeling Artificial Intelligence machine learning anomaly anomaly enforcement 4d-seismic image Enforcement 4d-seismic data reference model cross section permeability...

... as well as maintain the consistency of generated geological models during reservoir characterization. The main goal of this work is to integrate history matching and reservoir characterization, applying a simultaneous calibration of different OFs in a history-matching procedure, and keeping the geological...

... facies, which corresponds to the threshold. For example, the switching point in Fig. 1a is 0.61. machine learning Upstream Oil & Gas geological modeling reservoir simulation Reservoir Characterization gridblock facies pca coefficient porosity History covariance matrix CDF curve...