Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Michael Stundner"'
Autor:
Nagaraju Reddicharla, Michael Stundner, Shamma AlShehhi, Georg Schweiger, Subba Ramarao Rachapudi, David Gönczi, Indra Utama
Publikováno v:
Day 1 Mon, November 09, 2020.
Production optimization for mature hydrocarbon fields face several challenging tasks, including the long process of decision making when inactive and low performing wells are being evaluated. The lack of necessary data integration and evaluation of v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef0b40c6056b4c8b99e109b4d5162950
https://doi.org/10.2118/203022-ms
https://doi.org/10.2118/203022-ms
Autor:
Lisa Krenn, Georg Zangl, Andrei Iulian Staicu, Barbara Hachmöller, Cosmin-Ionut Pantazescu, David Zabel, Lisa Neuhofer, Michael Stundner, Vladimir Krcmarik, Philipp Tippel
Publikováno v:
Day 2 Tue, September 27, 2016.
The presented Expert System is capable of capturing expert knowledge from various domains in one consistent and unbiased logic framework and applying it to newly acquired data in order to identify, predict and categorize business opportunities follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a57366999fad6ddd1a086a9fdb20990
https://doi.org/10.2118/181683-ms
https://doi.org/10.2118/181683-ms
Publikováno v:
SPE Production & Facilities. 20:229-239
Summary A new way of reservoir management is dawning on the horizon: intelligent-reservoir management using continuous data from intelligent wells and/or smart fields. Even though there are many different buzz words for this new technology, they all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a12fb50a36f18fd91c6e82224ce228bf
https://doi.org/10.2118/87008-pa
https://doi.org/10.2118/87008-pa
This chapter describes a framework that captures knowledge in an organization and applies it in daily operations. Knowledge capturing is one of the biggest upcoming challenges to oil and gas organizations as operations become more remote, more challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ccae3f4382466cbb47e860019e389f
https://doi.org/10.4018/978-1-4666-2002-5.ch016
https://doi.org/10.4018/978-1-4666-2002-5.ch016
Autor:
Gustavo Nunez, Martha Figueroa Mota, Georg Zangl, Michael Stundner, Ralf Holy, Andreas Al-Kinani, Hector Manuel Escalona Gonzalez, Gilberto Sandoval Hernandez, Franz Fuehrer
Publikováno v:
All Days.
This paper describes a new workflow to accelerate and improve decisions regarding where and when to apply an artificial lift system in fields with a considerable number of active wells. The workflow deploys a hybrid combination of a user-driven exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::784a83a978d0e74b44233e3a38972436
https://doi.org/10.2118/128636-ms
https://doi.org/10.2118/128636-ms
Publikováno v:
All Days.
The availability of accurate performance information throughout the production system is fundamental to optimization of the economic potential of the reservoir. Without this understanding, a company's field development and operational decisions may n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04493268580e0c69849657f13d4f4efa
https://doi.org/10.2118/112221-ms
https://doi.org/10.2118/112221-ms
Autor:
Michael Stundner, Gustavo Nunez
Publikováno v:
All Days.
The availability of accurate production volumes, at the well level and throughout the production network, is fundamental to the workflows that target the optimization of the economic potential of the reservoir. Without an accurate understanding of pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0acd1a20fa310eaed9d4f73320e756f7
https://doi.org/10.2118/103757-ms
https://doi.org/10.2118/103757-ms
Publikováno v:
All Days.
An approach is investigated, to reduce the amount of CPU time needed to execute a numerical full field model in an optimization loop. To demonstrate the power of this approach, a real life example is presented. Data from a gas storage reservoir have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8611c2654c235cd2c01da9a896c5df5
https://doi.org/10.2118/100133-ms
https://doi.org/10.2118/100133-ms
Publikováno v:
All Days.
Methods of Artificial Intelligence like Back-Propagation Neural Networks (BPNN) have become popular software tools to predict permeability and porosity from well logs during the last several years. Similar to Multiple-Linear Regression models, Back-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b422d73f9c182216f0fa83f979c2b412
https://doi.org/10.2118/90720-ms
https://doi.org/10.2118/90720-ms
Publikováno v:
All Days.
A new way of reservoir management is dawning at the horizon – intelligent reservoir management utilizing continuous data from intelligent wells and/or smart fields. Even though there are many different buzz words for this new technology, they all l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa7bd38e87ce1956609147d5c28362b
https://doi.org/10.2118/87008-ms
https://doi.org/10.2118/87008-ms