TOPICS OF INTEREST
Simulation Algorithm Benefits by Connecting Geostatistics With Unsupervised Learning
A new geostatistics modeling methodology that connects geostatistics and machine-learning methodologies, uses nonlinear topological mapping to reduce the original high-dimensional data space, and uses unsupervised-learning algorithms to bypass problems with supervised-learning algorithms.
Shell, Bluware Team up on Seismic With Video Game Tech
Video games have been seen as a big waste of time for years by parents around the globe. But now, the oil and gas industry sees the underlying technology as a big time saver.
New Modeling Code Sees Deep Inside Fractures, May Change Thinking on Well Spacing
Operators are working with a young startup company to overhaul how the unconventional sector has traditionally interpreted one the most common tests used to influence well completion designs.
Integrated Study Aids Characterization and Modeling of Natural-Fracture Networks
Natural fractures can have a significant effect on fluid flow by creating permeability anisotropy in hydrocarbon reservoirs.
A radical digital revolution is happening all around us (or so we are told). Applying this to reservoir simulation, we apparently need to understand better when and, more importantly, when not to use such technology—to appreciate its bounds, its limitations, its range of validity, and so on.
Reservoir-Modeling Work Flow Introduces Structural Features Without Regridding
This paper proposes a novel work flow for structural-features modeling that allows the introduction of faults and other structural and nonstructural features to any simulation grid without modification.
Saturation Modeling Under a Complex Fluid-Fill History: Drainage and Imbibition
This paper presents a saturation-modeling approach for fields and reservoirs with complex hydrocarbon-charging histories. The model resolves saturation-height functions for the primary-drainage, imbibition, and secondary-drainage equilibriums.
Rapid S-Curve Update Using Ensemble Variance Analysis With Model Validation
In the complete paper, the authors propose a novel method to rapidly update the prediction S-curves given early production data without performing additional simulations or model updates after the data come in.
Enhancing Model Consistency in Ensemble-Based History Matching
The aim of this work is to present the effectiveness of a fully integrated approach for ensemble-based history matching on a complex real-field application.
Ensemble-Based Assisted History Matching With 4D-Seismic Fluid-Front Parameterization
An ensemble-based 4D-seismic history-matching case is presented in the complete paper. Seismic data are reparameterized as distance to a 4D anomaly front and assimilated with production data.
A New Three-Phase Microemulsion Relative Permeability Model
The complete paper presents a new three-phase relative permeability model for use in chemical-flooding simulators.
3D Simulator Predicts Realistic Mud Displacement in Deviated and Horizontal Wells
The complete paper discusses the advancements in mud-displacement simulation that overcome the limitations of the previous-generation simulator and provide a more-realistic simulation in highly deviated and horizontal wells.
Researchers: Models Overstate Technology Impact, Understate Location Impact for Unconventional Wells
Two researchers at the MIT Energy Initiative have found that current modeling overestimates the impact of new technology on unconventional well productivity and underestimates that of increasingly targeting reservoir “sweet spots.”
Numerical Modeling of Unstable Waterfloods and Tertiary Polymer Floods for Viscous Oils
This paper addresses the challenges in modeling highly unstable waterflooding, using both a conventional Darcy-type simulator and an adaptive dynamic prenetwork model, by comparing the simulated results with experimental data including saturation maps.
Method Addresses Difficulty of Modeling Heterogeneous Carbonate Bimodal Rocks
Because of their heterogeneity, carbonate reservoirs are more difficult to model than clastic reservoirs. The main difficulty comes from the number of different pore types, compared with the typical interparticle pore type in clastics.
Transient Coupled Wellbore/Reservoir Model Using a Dynamic IPR Function
Conventional inflow-performance-relationship (IPR) models are used in coupled wellbore/reservoir transient simulations, even if bottomhole-pressure conditions are assumed to be constant on the derivation of such IPR models.
Reservoir Simulation: "Optimization Under Uncertainty"
Nearly a decade after an SPE meeting in Bruges set industry-inspiring benchmarks for reservoir modeling, the time has come to overcome a new set of challenges.
Integrated Software Tool Brings Speed, Reliability to Reservoir Modeling on Barents Sea Project
A fast, integrated reservoir modeling tool used by Eni at Norway’s Goliat field generated an ensemble of models that helped confirm the location of previously identified infill drilling targets and identify several new infill locations.
Proper Simulation of Chemical-EOR Pilots—A Real Case Study
A critical step in proper design and optimization of any chemical-enhanced-oil-recovery (CEOR) process is appropriate and precise numerical simulations.
Experimental and Numerical Studies of CO2 EOR in Unconventional Reservoirs
This study explores the mechanisms contributing to oil recovery with numerical modeling of experimental work and investigates the effects of various parameters on oil recovery.
New Technology in a Mature East Malaysian Field
This paper describes the first job in southeast Asia in developing horizontal-well placement in a turbidite environment.
Prescriptive-Analytics Modeling Technology Captures Reservoir Physics
Producers face a number of decision-making challenges. Specifically, they must optimize field development and operational decisions in light of the complex interplay of fiscal, market, and reservoir variables.
Pores to Production: The Nanoscale Search for More Oil
The story of unconventional oil and gas technology development has been focused on fractures. The formula has been more stages, more sand, and more water, targeting the most productive spots.
Production-Optimization Strategy Using a Hybrid Genetic Algorithm
The optimization algorithm used in this work is a hybrid genetic algorithm (HGA), which is the combination of GAs with artificial neural networks (ANNs) and evolution strategies (ESs).
Reservoir-simulation-model inputs are numerous, and uncertainty is pervasive—before, during, and after development. With the pressure to deliver results quickly, how do we find the right balance?
Simulation Analysis With Association-Rule Mining Plus High-Dimensional Visualization
Computational advances in reservoir simulation have made possible the simulation of thousands of reservoir cases in a practical time frame. This enables exhaustive exploration of subsurface uncertainty and development/depletion options.
Modeling of a Complex Reservoir Where the Normal Modeling Rules Do Not Apply
With the easy conventional oil in Argentina having been produced, one remaining way to find new oil in existing fields is to convert fields from primary or secondary production to secondary or tertiary production, respectively.
Use of Emulator Methodology for Uncertainty-Reduction Quantification
Because the uncertainty analysis is complex and time consuming, in this paper, a stochastic representation of the computer model, called an emulator, was constructed to quantify the reduction in the parameter input space.
Project Tests High-Performance Cloud Computing for Reservoir Simulations
In upstream oil and gas, cloud computing is very immature because the industry has always been challenged by storage and computational capability. However, high-performance cloud computing may create an opportunity for smaller companies lacking infrastructure for scientific applications.
A More-Rigorous Development Framework for Unconventional Reservoirs
This paper describes how seismic reservoir integration, advanced production analysis, and accurate nanoscale and 3D full-field simulations may address profitability issues and help oil companies to be more efficient in developing unconventional portfolios.
Young Technology Showcase—Top-Down Modeling: A Shift in Building Full-Field Models for Mature Fields
Data-driven, or top-down, modeling uses machine learning and data mining to develop reservoir models based on measurements, rather than solutions of governing equations.
Mature Flood Surveillance Using Streamlines
With the recent drop in oil prices, operators are shifting to optimization of existing assets with minimal costs. For mature floods (water, chemical, and CO2), one low-cost optimization strategy is the intelligent adjustment of well-rate targets.
Machine Learning Applied to Multiwell-Test Analysis and Flow-Rate Reconstruction
Permanent downhole gauges (PDGs) can provide a continuous record of flow rate and pressure, which provides extensive information about the reservoir. In this work, a machine-learning framework based on PDG data was extended to two applications: multiwell testing and flow-rate reconstruction.
Bayesian-Style History Matching: Another Way To Underestimate Forecast Uncertainty?
This paper critically investigates the impact of using realistic, inaccurate simulation models. In particular, it demonstrates the risk of underestimating uncertainty when conditioning real-life models to large numbers of field data.
Streamline-Based History Matching for Multicomponent Compositional Systems
In this paper, the authors introduce a novel semianalytic approach to compute the sensitivity of the bottomhole pressure (BHP) data with respect to gridblock properties.
A Data-Driven Model for History Matching and Prediction
In this paper, the authors derive and implement an interwell numerical simulation model (INSIM) that can be used as a calculation tool to approximate the performance of a reservoir under waterflooding.
History Matching and Forecasting
History matching is only one part of something more comprehensive—reservoir modeling.
A Nonisothermal Wellbore Model and Its Application in Well Testing
Although the wellbore is in a nonisothermal environment, heat transfer between the fluid in the wellbore and the formation is often ignored and temperature is usually assumed constant in data interpretation, which will lead to misunderstanding of the pressure profile.
Downturn Represents Stress Test for Unconventional Hydraulic Fracture Modeling
Developers of the latest generation of unconventional hydraulic fracturing models are hoping that current weak oil and gas prices will generate newfound interest in their software technology.
Simulation of Residual Oil Saturation Through Tuning of Equilibrium Constants
Conventional miscible- or near-miscible-gasflood simulation often overestimates oil recovery, mostly because it does not capture a series of physical effects tending to limit interphase compositional exchanges.
An Integrated Methodology To Locate Oil Opportunities in Mature Reservoirs
A matured field is currently producing with greater than 85% water cut (WC) and has significant levels of uncertainty with respect to oil/water contact (OWC), flank structure, depth of spill points, production allocation, and residual oil saturation.
Guest Editorial: Engineering Design in the “Lower for Longer” Environment
For engineering design teams, the market downturn is an opportunity to review practices and learn from others who have used hard times to reshape processes through simulation while cutting development time and costs.
Field-Development-Plan Optimization of a Giant Field for Recovery Improvement
To optimize the development plan of a giant carbonate reservoir offshore Abu Dhabi to extend the production plateau and improve recovery, detailed sector models were used to facilitate the large number of required simulation runs.
Understanding Waterflood Response in Tight Oil Formations: A Saskatchewan Case Study
An 18-well numerical-simulation model was built to represent an operator’s Lower Shaunavon waterflood-pilot area. Numerical simulation was used, and a history match on the pilot area was performed.
Model-Based Evaluation of Surveillance-Program Effectiveness With Proxies
This paper proposes a framework based on proxies and rejection sampling (filtering) to perform multiple history-matching runs with a manageable number of reservoir simulations.
Drilling Modeling and Simulation: Current State and Future Goals
The process of drilling a borehole is very complex, involving surface and downhole drilling systems that interact with the drilling fluid and the surrounding rocks.
The Gravity of Oil and Gas Exploration
A Cold War technology invented to stealthily guide the United States Navy’s nuclear submarine fleet is now serving a much more peaceful purpose: aiding in the search for oil and gas deposits.
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09 October 2018
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