SPE logo

Technical Program

Wednesday, 25 February

0830-1200

Legends I-III Ballroom

09 Data Assimilation and Uncertainty Quantification

Session Chairpersons:

Dongxiao Zhang, University of Southern California; Pallav Sarma, Chevron Corporation

This session explores new methods for history matching multiple models to production data and quantifying uncertainty in the resulting forecasts. Common themes include preserving geologic realism during model updates and assimilating data at multiple scales.

Time Paper # Presentation
0830-0900 173192 icon:RDD Assisted History Matching of Channelized Models Using Pluri-Principal Component Analysis
C. Chen, Shell Intl E&P, Inc.; G. Gao, Shell Global Solutions US Inc.; B. Ramirez, Shell Intl E&P, Inc.; J.C. Vink, Shell Global Solutions US Inc.; A.M. Girardi, Shell Brasil Exploration and Production
0900-0930 173214 icon:RDD An Adaptive Ensemble Smoother with Multiple Data Assimilation for Assisted History Matching
D.H. Le, University of Tulsa; A.A. Emerick, Petrobras; A.C. Reynolds, University of Tulsa
0930-1000 173305 icon:PO Reservoir management under geological uncertainty using Fast Model Update
R.G. Hanea, G. Evensen, L. Hustoft, T. Ek, Statoil ASA; A.G. Chitu, F. Wilschut, TNO
1030-1100 173197 icon:RDD Quantification Of Prediction Uncertainty: What Does It Mean And How Does It Evolve With History Matching
P. Likanapaisal, ConocoPhillips; H.A. Tchelepi, Stanford University
1100-1130 173233 icon:RDD A History Matching Procedure for Non-Gaussian Facies Based on ES-MDA
D.H. Le, R. Younis, A.C. Reynolds, University of Tulsa
1130-1200 173239 icon:RDD Field Applications of a Multi-Scale Multi-Physics History Matching Approach
M. Khodabakhshi, Oxy Oil & Gas USA; B. Jafarpour, University of Southern California; M.J. King, Texas A&M University
Alternate 173275 icon:RDD Sparse Geologic Dictionaries for Field-Scale History Matching Application
M. M. Khaninezhad, B. Jafarpour, University of Southern California
Wednesday, 25 February

0830-1200

Founders II-IV Ballroom

10 Simulator Formulations and Next Generation Frameworks

Session Chairpersons:

Alberto Cominelli, Eni E&P; Denis Voskov, Stanford University

The capability and complexity of reservoir simulators has increased dramatically during the past decade. This session will investigate novel formulations for multiphase flow and new software frameworks that further extend functionality, generalize existing methods, and make is easier to build new simulation models and new simulators.

Time Paper # Presentation
0830-0900 173251 icon:RDD A Fully Coupled Network Model, Practical Issues and Comprehensive Comparison With Other Integrated Models on Field Cases
H. Cao, Total E&P USA, Inc.; P. Samier, Total S.A.; H.M. Kalunga, Total CSTJF; E. DETIGE, Total S.A.; E. Obi, Total CSTJF
0900-0930 173237 icon:RDD Rapid Reservoir Modeling: Prototyping Of Reservoir Models, Well Trajectories And Development Options Using An Intuitive, Sketch-Based Interface
M.D. Jackson, G.J. Hampson, Imperial College; D.P. Rood, Imperial College London; S. Geiger, Z. Zhang, Heriot-Watt University; M. Costa Sousa, R. Amorim, E. Vital Brazil, F.F. Samavati, University of Calgary; L. Nascimento Guimaraes, University of Pernambuco
0930-1000 173266 icon:RDD A General Flow Equation Framework
K.B. Haugen, B.L. Beckner, ExxonMobil Upstream Research Co.
1030-1100 173224 icon:RDD Black Oil Modeling in a Next-Generation Integrated Production Simulator
M. Khoshkbarchi, B.F. Kohse, Computer Modelling Group Ltd.; F.E. Saaf, Shell Global Solutions US
1100-1130 173271 icon:RDD Fast Multiscale Reservoir Simulations using POD-DEIM Model Reduction
M. Ghasemi, Texas A&M University; Y. Yang, Texas A&M University - Mathematics Department; E. Gildin, Y. Efendiev, Texas A&M University; V.M. Calo, King Abdullah University of Science & Tech
1130-1200 173249 icon:RDD Study of Compositional Multi-Phase Flow Formulations with Cubic EOS
I. Ben Gharbia, E. Flauraud, A. Michel, IFP Energies Nouvelles
Wednesday, 25 February

1400-1730

Legends I-III Ballroom

11 Optimization and Field Development

Session Chairpersons:

Garfield Bowen, Ridgeway Kite Software; Xiao-hui Wu, ExxonMobil Upstream Research Co.

This session focuses on field development and production optimization. Common themes include handling multiple objectives, exploiting different scales to accelerate high-dimensional searches, and efficient methods for managing ensembles of simulation models.

Time Paper # Presentation
1400-1430 173198 icon:RDD Multilevel Field-Development Optimization Using a Sequence of Upscaled Models
E. Aliyev, L.J. Durlofsky, Stanford University
1430-1500 173273 icon:RDD Hierarchical Multiscale Methods for Life-Cycle Production Optimization: A Field Study Case
D.F. Oliveira, Petrobras -Petroleo Brasileiro; A.C. Reynolds, University of Tulsa
1500-1530 173236 icon:RDD Quantification of the Impact of Ensemble Size on the Quality of an Ensemble Gradient Using Principles of Hypothesis Testing
R. Fonseca, S. Kahrobaei, L. van Gastel, Delft University of Technology; O. Leeuwenburgh, TNO; J. Jansen, Delft University of Technology
1600-1630 173268 icon:RDD Ensemble-Based Multi-Objective Optimization of On-Off Control Devices Under Geological Uncertainty
R. Fonseca, Delft University of Technology; O. Leeuwenburgh, TNO; E. Della Rossa, ENI; P. Van den Hof, Eindhoven University of Technology; J. Jansen, Delft University of Technology
1630-1700 173256 icon:MI A Covariance Matrix Adaptation Algorithm for Simultaneous Estimation of Optimal Placement and Control of Production and Water Injection Wells
F. Forouzanfar, W.E. Poquioma, A.C. Reynolds, University of Tulsa
1700-1730 173209 icon:RDD A New Look at Conflicting Multiple Objectives Optimization Using Fuzzy Rules-Based System
A. Mirzabozorg, L.X. Nghiem, H. Li, C. Yang, Computer Modelling Group Ltd.; Z. Chen, University of Calgary
Alternate 173252 icon:RDD Retraining Criteria for TPWL/POD Surrogate Based Waterflodding Optimization
M. Fragoso, Petrobras S. A.; B. Horowitz, Federal University of Pernambuco; J. Rodrigues, Petrobras S.A.
Wednesday, 25 February

1400-1730

Founders II-IV Ballroom

12 Coupled Flow and Geomechanics

Session Chairpersons:

Hamdi A. Tchelepi, Stanford University; Larry Fung, Saudi Aramco PE&D

Industry-wide interest in subsurface integrity and the impact of compaction on production is driving renewed activity in the simulation of coupled flow and geomechanics. This session focuses on iteratively and fully coupled solution strategies as well as their application to challenging reservoir simulation problems.

Time Paper # Presentation
1400-1430 173232 icon:RDD Full Pressure Coupling for Geo-mechanical Multi-phase Multi-component Flow Simulations
F. Doster, Heriot-Watt University; J.M. Nordbotten, University of Bergen
1430-1500 173303 icon:RDD A Numerically Stable Sequential Implicit Algorithm for Finite-strain Elastoplastic Geomechanics Coupled to Fluid Flow
J. Kim, Texas A&M University
1500-1530 173261 icon:RDD A Compositional Model Fully Coupled With Geomechanics for Liquid-Rich Shale and Tight Oil Reservoir Simulation
Y. Xiong, P.H. Winterfeld, C. Wang, Y. Wu, Colorado School of Mines; Z. Huang, China University of Petroleum (East China)
1600-1630 173210 icon:RDD Simulation of Coupled Thermal-Hydrological-Mechanical Phenomena in Porous and Fractured Media
P.H. Winterfeld, Y. Wu, Colorado School of Mines
1630-1700 173253 icon:RDD A True Poroelastic Up and Downscaling Scheme for Multi-scale Coupled Simulation
J.J. Ita, Royal Dutch/Shell Group; F. Malekzadeh, Computer Modeling Group
1700-1730 173220 icon:RDD Stress Reorientation in Waterflooded Reservoirs
J. Hwang, E.C. Bryant, M.M. Sharma, The University of Texas At Austin