Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Asaad Abdollahzadeh"'
Autor:
Imran M Fadhil, Jamari M Shah, Salmi Sansudin, Asaad Abdollahzadeh, Husni Husiyandi, Nur Aimi Azimah Azizul, Fairuz Hidayah Hasnan, Yuan Jiun Thai
Publikováno v:
Day 2 Wed, January 25, 2023.
This paper discusses the adoption of Machine Learning (ML) approach to identify new Behind Casing Opportunities (BCO) in two brown fields (B and S) offshore East Malaysia. A multi-stage field-based ML models were developed based on selected wells and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9afac3032f1ec590e043d9cc518fda9c
https://doi.org/10.2118/212627-ms
https://doi.org/10.2118/212627-ms
Autor:
Nur Dalila Alias, Bak Shiiun Wong, Wan Zalikha Anas, Nur Amalina Sulaiman, Mildred Vanessa Epui, Azam A Rahman, Ahmad Rizal A Rahman, Sue Jane Yeoh, Asaad Abdollahzadeh, Linda William Ngadan, Horng Eng Tang, Wai Fun Chooi, Riaz Khan, Sook Moi Ng, Siti Nurshamsinazzatulbalqish Saminal, M Mujiduddin Ibrahim, Marklin Hamid, Ave Suhendra Suhaili, M Said Farhan M Hisham
Publikováno v:
Day 1 Mon, October 17, 2022.
Leveraged on the abundant weight data comprised of more than 200 offshore platforms, a smart digitalized analytical tool called i-WEIGHT, an integrated weight control tool consisting of three (3) main modules: centralized multi-discipline weight data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06a8a432f08e394c240d2f6a174837e8
https://doi.org/10.2118/210712-ms
https://doi.org/10.2118/210712-ms
Publikováno v:
SPE Reservoir Simulation Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7eb57e0a5c881a0c7fe04546c5c3cba
https://doi.org/10.2118/173263-ms
https://doi.org/10.2118/173263-ms
Publikováno v:
All Days.
Efficient history matching of highly uncertain reservoir models is important in many applications of the reservoir engineering area, such as reservoir management, production prediction, and development optimisation. History matching has commonly been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a2d6c9cb89d17b8e667612ea1858220
https://doi.org/10.2118/164824-ms
https://doi.org/10.2118/164824-ms
Publikováno v:
London 2013, 75th eage conference en exhibition incorporating SPE Europec.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::867868bfb059202b894871a4dcde0853
https://doi.org/10.3997/2214-4609.20130161
https://doi.org/10.3997/2214-4609.20130161
Publikováno v:
All Days.
Numerical reservoir models are used to predict, optimise and improve production performance of the oil and gas reservoirs. History matching is required to calibrate reservoir models to dynamic behaviour of the reservoir. On the one hand, historymatch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba79b5881c3c9ab48a4afe5e4358c2f6
https://doi.org/10.2118/161951-ms
https://doi.org/10.2118/161951-ms
Autor:
Glyn Williams, Alan Reynolds, Asaad Abdollahzadeh, Michael Andrew Christie, Brian Davies, David Corne
Publikováno v:
Scopus-Elsevier
History matching is one of the key challenges of efficient reservoir management. In history matching, evolutionary algorithms are used to explore the global parameter search space for multiple good fitting models. General critiques of these algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094b13eae4e4cd71c0242b9b889da7bb
https://doi.org/10.3997/2214-4609.20143178
https://doi.org/10.3997/2214-4609.20143178
Autor:
Alan Reynolds, Michael Andrew Christie, Brian Davies, Glyn Williams, David Corne, Asaad Abdollahzadeh
Publikováno v:
All Days.
In history matching, the aim is to generate multiple good-enough history-matched models with a limited number of simulations which will be used to efficiently predict reservoir performance. History matching is the process of the conditioning reservoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bab559d2851468ce4e19b948ea8c431
https://doi.org/10.2118/154488-ms
https://doi.org/10.2118/154488-ms
Autor:
Michael Andrew Christie, Brian Davies, Glyn Williams, Alan Reynolds, Asaad Abdollahzadeh, David Corne
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642329630
PPSN (2)
PPSN (2)
As is typical of metaheuristic optimization algorithms, particle swarm optimization is guided solely by the objective function. However, experience with separable and roughly separable problems suggests that, for subsets of the decision variables, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abbe8cc4486ab7d0b1a731fb14709010
https://doi.org/10.1007/978-3-642-32964-7_20
https://doi.org/10.1007/978-3-642-32964-7_20
Autor:
Alan Reynolds, Asaad Abdollahzadeh, David Corne, Brian Davies, Glyn Williams, Michael Andrew Christie
Publikováno v:
IEEE Congress on Evolutionary Computation
In order to make effective decisions regarding the exploitation of oil reservoirs, it is necessary to create and update reservoir models using observations collected over time in a process known as history matching. This is an inverse problem: it req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa44e4475ff5d35d8fdd9e44ca45f669
https://doi.org/10.1109/cec.2011.5949713
https://doi.org/10.1109/cec.2011.5949713