Vectorization and Parallel Processing of Local Grid Refinement and Adaptive Implicit Schemes in a General Purpose Reservoir Simulator

Chien, M.C.H.; Northrup, E.J.

doi:10.2523/25258-ms

Cited by 7 publications

(7 citation statements)

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“…The key idea is based on the fact that the process of solving a problem usually can be divided into smaller tasks, which are carried out simultaneously with some coordination. There are two roughly categories for parallel models: shared memory (Scott et al, 1987;Chien and Northrup, 1993) and distributed memory (Wheeler and Smith, 1989;Killough et al, 1997;Wang et al, 1999). For parallel and distributed simulation on history matching, Ouenens et al (1995) parallelized the simulated annealing algorithm for automatic history matching.…”

Section: Distributed and Parallel Computing For Automatic History Matmentioning

confidence: 98%

An Automatic History Matching Module with Distributed and Parallel Computing

Liang

Sepehrnoori

Delshad

2009

Petroleum Science and Technology

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The data assimilation process of adjusting variables in a reservoir simulation model to honor observations of field data is known as history matching and has been extensively studied for a few decades. However, limited success has been achieved due to the high complexity of the problem and the large computational effort required in the real fields. Successful applications of the ensemble Kalman filter (EnKF) to reservoir history matching have been reported in various publications. The EnKF is a sequential method: once new data are available, only these data are used to update all the unknown reservoir properties while previous geological information is unused directly. In this method, multiple reservoir models rather than one single model are implemented, and each model is called a member. Conventionally, the impact of each member on the updating is equally treated. Another approach is the weighted EnKF. During the updating, the method weighs the contribution of each member through the comparison between the simulation response and the measurements. Better matching performance has been found in the weighted EnKF than in the conventional EnKF. To improve computational efficiency, two-level high-performance computing for reservoir history matching process is implemented in this research, distributing ensemble members simultaneously while simulating each member in a parallel style.An automatic history-matching module based on the weighted EnKF and highperformance computing is developed and validated through a synthetic case operating from primary, waterflooding to flooding of water alternating with gas. The study shows that the weighted EnKF improves the matching results, and the high-performance computing process significantly reduces the history matching execution time.

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Section: Distributed and Parallel Computing For Automatic History Matmentioning

confidence: 98%

An Automatic History Matching Module with Distributed and Parallel Computing

Liang

Sepehrnoori

Delshad

2009

Petroleum Science and Technology

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“…LLNL has been performing scoping studies to model the enhancement of production from heavy oil reservoirs by this process (Sahni et al, 2000). The sponsor requested that NUFT be validated against an established petroleum industry reservoir simulator, in particular, the CHEARS code developed by Chevron Oil Company (Chien and Northrup, 1993). The selected test problem was the steam-flooding of a hypothetical reservoir.…”

Section: Benchmarking Of Napl Movement and Steam Strippingmentioning

confidence: 99%

Some Examples of the Application and Validation of the NUFT Subsurface Flow and Transport Code

Nitao¹

2001

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“…The characteristics of single porosity single permeability (SPSP), dual porosity single permeability (DPSP), and dual porosity dual Large scale multi-million grid cell parallel reservoir simulation capability is as an important integral part of the solution to these problems. Parallel simulation technology has been under development by a number of companies [12][13][14][15] as well as ARAMCO [16][17][18] where methodologies, algorithms, and parallelization paradigms show wide variations. As hardware and software mature in the high performance computing arena, two open standards of parallel programming paradigms, OpenMP 19 and MPI 20 , have emerged as the dominant methods for program workload and data distribution.…”

Section: Introductionmentioning

confidence: 99%

A Scalable Massively Parallel Dual-Porosity Dual-Permeability Simulator for Fractured Reservoirs with Super-K Permeability

Al-Shaalan

Fung

Doğru

2003

SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractModeling Middle East giant carbonate reservoirs with fractures and super-k conductivity present unique challenges to conventional simulation approaches. Fractures in these giant oil fields can exist as fracture swamp neighboring fault zones. These regional/local fractures can interact with Super-K layers (high permeability stratiform) which form extremely high conductivity to fluid flow. Typically, meaningful simulation for such an oil field requires the use of millions of grid cells involving thousands of wells. These reservoirs are not the classical dual porosity where matrix permeability is poor and does not form a part of the global flow path. Dual porosity dual permeability (DPDP) formulation allowing a flexible regional representation of both single porosity and dual porosity behavior on a cell by cell basis is more suitable.A parallel dual porosity dual permeability simulator has been developed to efficiently solve multi-million grid cell fractured reservoirs problems with super-k fracture permeability. To be effective, the simulator has to engage tens to hundreds of processors in a highly scalable manner. This paper discusses the formulation, the data design and solution procedures involved in this development.The parallelization paradigm is the mixed approach with MPI (Message Passing Interface) and OpenMP (Open Message Passing). These parallelization approaches are open standards supported by most major hardware vendors. This allows for easy portability among various hardware architectures. However, the data design and solution methods discussed herein are amenable to MPI only or other parallelization approaches as well. The mixed paradigm approach is flexible and allows various combination and permutation of MPI processes and OpenMP threads to be used to solve a problem.Results are presented for a multi-million cell fractured reservoir simulation with super-k involving thousands of wells and over 60 years of history match. We present simulation results, computational efficiency and parallel scalability on the IBM Nighthawk II, as well as on the PC Xeon Linux cluster hardware.

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Vectorization and Parallel Processing of Local Grid Refinement and Adaptive Implicit Schemes in a General Purpose Reservoir Simulator

Cited by 7 publications

References 0 publications

An Automatic History Matching Module with Distributed and Parallel Computing

An Automatic History Matching Module with Distributed and Parallel Computing

Some Examples of the Application and Validation of the NUFT Subsurface Flow and Transport Code

A Scalable Massively Parallel Dual-Porosity Dual-Permeability Simulator for Fractured Reservoirs with Super-K Permeability

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