State of the Art Special Core Analysis Program Design and Results for Effective Reservoir Management, Dukhan Field, Qatar

2009 ◽  
Author(s):  
Jonathan Paul Meissner ◽  
Fred Horng Lieh Wang ◽  
James Gregory Kralik ◽  
Mohamed Naguib Abdul Majid ◽  
Mohd Ismail Omar ◽  
...  
Keyword(s):  
Program Design ◽  
State Of The Art ◽  
Reservoir Management ◽  
Core Analysis ◽  
Analysis Program ◽  
Special Core Analysis

State of the Art Special Core Analysis Program Design and Results for Effective Reservoir Management, Dukhan Field, Qatar

2009 ◽  
Author(s):  
Jonathan Paul Meissner ◽  
Fred Horng Lieh Wang ◽  
James Gregory Kralik ◽  
Mohamed Naguib Abdul Majid ◽  
Mohd Ismail Omar ◽  
...  
Keyword(s):  
Program Design ◽  
State Of The Art ◽  
Reservoir Management ◽  
Core Analysis ◽  
Analysis Program ◽  
Special Core Analysis

State of the Art Special Core Analysis Program Design and Results for Effective Reservoir Management, Dukhan Field, Qatar

2009 ◽  
Author(s):  
J.P. Meissner ◽  
F.H.L. Wang ◽  
J.G. Kralik ◽  
M.N. Ab Majid ◽  
M.I. Bin Omar ◽  
...  
Keyword(s):  
Program Design ◽  
State Of The Art ◽  
Reservoir Management ◽  
Core Analysis ◽  
Analysis Program ◽  
Special Core Analysis

State of the Art Special Core Analysis Program Design and Results for a Middle Eastern Carbonate Reservoir

2015 ◽  
Author(s):  
Bo Gao ◽  
Jim Kralik ◽  
Loan Vo ◽  
Hesham Shebl ◽  
Rashed Al Shehhi ◽  
...  
Keyword(s):  
Program Design ◽  
State Of The Art ◽  
Middle Eastern ◽  
Carbonate Reservoir ◽  
Core Analysis ◽  
Analysis Program ◽  
Special Core Analysis

Rekonstruksi dan Validasi Data Permeabilitas Relatif Untuk Proses History Matching Dalam Simulasi Reservoir Pengembangan Lapangan X

2015 ◽  
Vol 4 (2) ◽  
pp. 44-52
Author(s):  
Novia Rita ◽  
Tomi Erfando
Keyword(s):  
History Matching ◽  
Core Analysis ◽  
Black Oil ◽  
Special Core Analysis

Sebelum suatu model reservoir digunakan, terlebih dahulu dilakukan history matching atau menyesuaikan kondisi model dengan dengan kondisi reservoir. Salah satu parameter yang perlu disesuaikan adalah permeabilitas relatif. Untuk melakukan rekonstruksi nilai permeabilitas relatifnya dibutuhkan data SCAL (Special Core Analysis) dari sampel core. Langkah awal rekonstruksi adalah dengan melakukan normalisasi data permeabilitas relatif (kr) dan saturasi air (Sw) dari data SCAL yang berasal dari tiga sampel core. Setelah dilakukan nomalisasi, dilakukan denormalisasi data permeabilitas relatif yang akan dikelompokkan berdasarkan jenis batuannya. Setelah dilakukan history matching menggunakan black oil simulator, data denormalisasi tersebut belum sesuai dengan kondisi aktual. Selanjutnya digunakan persamaan Corey untuk rekonstruksi kurva permeabilitas relatifnya. Hasil dari persamaan tersebut didapat bahwa nilai kro dan krw jenis batuan 1 sebesar 0,25 dan 0,09 kemudian nilai kro dan krw untuk jenis batuan 2 sebesar 0,4 dan 0,2. Nilai permeabilitas dari persamaan Corey digunakan untuk melakukan history matching, hasilnya didapat kecocokan (matching) dengan keadaan aktual. Berdasarkan hasil simulasi, nilai produksi minyak aktualnya adalah 1.465.650 bbl sedangkan produksi dari simulasi adalah 1.499.000 bbl. Artinya persentase perbandingan aktual dan simulasinya adalah 1,14% yang dapat dikatakan cocok karena persentase perbedaannya di bawah 5%.

RAMI Analysis Program Design and Research for CFETR (Chinese Fusion Engineering Testing Reactor) Tokamak Machine

2014 ◽  
Vol 33 (5) ◽  
pp. 516-522 ◽  
Author(s):  
Shijun Qin ◽  
Yuntao Song ◽  
Damao Yao ◽  
Yuanxi Wan ◽  
Songtao Wu ◽  
...  
Keyword(s):  
Program Design ◽  
Analysis Program ◽  
Fusion Engineering

scholarly journals A new framework for selection of representative samples for special core analysis

2020 ◽  
Vol 5 (3) ◽  
pp. 210-226 ◽  
Author(s):  
Abouzar Mirzaei-Paiaman ◽  
Seyed Reza Asadolahpour ◽  
Hadi Saboorian-Jooybari ◽  
Zhangxin Chen ◽  
Mehdi Ostadhassan
Keyword(s):  
Core Analysis ◽  
Representative Samples ◽  
Special Core Analysis ◽  
New Framework ◽  
Selection Of

Unsatisfiable Core Analysis and Aggregates for Optimum Stable Model Search

2020 ◽  
Vol 176 (3-4) ◽  
pp. 271-297
Author(s):  
Mario Alviano ◽  
Carmine Dodaro
Keyword(s):  
State Of The Art ◽  
Answer Set Programming ◽  
Efficient Algorithms ◽  
Satisfiability Problem ◽  
Core Analysis ◽  
Stable Model ◽  
Maximum Satisfiability ◽  
Model Search ◽  
Unsatisfiable Core ◽  
Stable Models

Many efficient algorithms for the computation of optimum stable models in the context of Answer Set Programming (ASP) are based on unsatisfiable core analysis. Among them, algorithm OLL was the first introduced in the context of ASP, whereas algorithms ONE and PMRES were first introduced for solving the Maximum Satisfiability problem (MaxSAT) and later on adapted to ASP. In this paper, we present the porting to ASP of another state-of-the-art algorithm introduced for MaxSAT, namely K, which generalizes ONE and PMRES. Moreover, we present a new algorithm called OLL-IN-ONE that compactly encodes all aggregates of OLL by taking advantage of shared aggregate sets propagators. The performance of the algorithms have been empirically compared on instances taken from the latest ASP Competition.

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