ebooks, audiobooks, and more for reads
Download Monte Carlo Evaluation Model Of An Undeveloped Oil Field full books in PDF, epub, and Kindle. Read online Monte Carlo Evaluation Model Of An Undeveloped Oil Field ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Download or read book Monte Carlo Evaluation Model of an Undeveloped Oil Field written by Gonzalo Cortazar and published by . This book was released on 1998 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Yusuf Opeyemi Akinwale
Publisher:
Published: 2011-11
Total Pages: 88
ISBN-13: 9783846555873
DOWNLOAD EBOOKDownload or read book Monte Carlo Risk Analysis of Oil and Gas Field Development in UKCS: written by Yusuf Opeyemi Akinwale and published by . This book was released on 2011-11 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Analysis of Monte Carlo Simulation as an Estimator of Original Oil in Place and Original Gas in Place written by John Williams and published by . This book was released on 2004 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Project Duration for Oil and Gas Industry Using Monte Carlo Simulation written by Ocky Agastyo and published by . This book was released on 2007 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Pooneh Saidi Bidokhti
Publisher: BoD – Books on Demand
Published: 2019-12-18
Total Pages: 189
ISBN-13: 1789855454
DOWNLOAD EBOOKThe Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. However, this technique is complicated by the amount of computer time required to achieve sufficient precision in the simulations and evaluate their accuracy. This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy.
Download or read book Theory, Application, and Implementation of Monte Carlo Method in Science and Technology written by Pooneh Saidi Bidokhti and published by BoD – Books on Demand. This book was released on 2019-12-18 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. However, this technique is complicated by the amount of computer time required to achieve sufficient precision in the simulations and evaluate their accuracy. This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy.
Author: Marco A. C. Pacheco
Publisher: Springer
Published: 2009-01-30
Total Pages: 296
ISBN-13: 3540930000
DOWNLOAD EBOOKThe decision to invest in oil field development is an extremely complex problem, even in the absence of uncertainty, due to the great number of technological alternatives that may be used, to the dynamic complexity of oil reservoirs - which involves mul- phase flows (oil, gas and water) in porous media with phase change, and to the c- plicated combinatorial optimization problem of choosing the optimal oil well network, that is, choosing the number and types of wells (horizontal, vertical, directional, m- tilateral) required for draining oil from a field with a view to maximizing its economic value. This problem becomes even more difficult when technical uncertainty and e- nomic uncertainty are considered. The former are uncertainties regarding the existence, volume and quality of a reservoir and may encourage an investment in information before the field is developed, in order to reduce these uncertainties and thus optimize the heavy investments required for developing the reservoir. The economic or market uncertainties are associated with the general movements of the economy, such as oil prices, gas demand, exchange rates, etc. , and may lead decision-makers to defer - vestments and wait for better market conditions. Choosing the optimal investment moment under uncertainty is a complex problem which traditionally involves dynamic programming tools and other techniques that are used by the real options theory.
Download or read book Intelligent Systems in Oil Field Development under Uncertainty written by Marco A. C. Pacheco and published by Springer. This book was released on 2009-01-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The decision to invest in oil field development is an extremely complex problem, even in the absence of uncertainty, due to the great number of technological alternatives that may be used, to the dynamic complexity of oil reservoirs - which involves mul- phase flows (oil, gas and water) in porous media with phase change, and to the c- plicated combinatorial optimization problem of choosing the optimal oil well network, that is, choosing the number and types of wells (horizontal, vertical, directional, m- tilateral) required for draining oil from a field with a view to maximizing its economic value. This problem becomes even more difficult when technical uncertainty and e- nomic uncertainty are considered. The former are uncertainties regarding the existence, volume and quality of a reservoir and may encourage an investment in information before the field is developed, in order to reduce these uncertainties and thus optimize the heavy investments required for developing the reservoir. The economic or market uncertainties are associated with the general movements of the economy, such as oil prices, gas demand, exchange rates, etc. , and may lead decision-makers to defer - vestments and wait for better market conditions. Choosing the optimal investment moment under uncertainty is a complex problem which traditionally involves dynamic programming tools and other techniques that are used by the real options theory.
Download or read book A General method for evaluating models using Monte Carlo analysis written by Steven Jay Haness and published by . This book was released on 1986 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Risk adjusted evaluation of petroleum ventures using Monte Carlo techniques written by George Francis Sears and published by . This book was released on 1985 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of a Monte Carlo Models for Two-phase Rarefied Flows written by Jonathan M. Burt and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Monte Carlo Evaluation of Model Search in Graphical Models for Ordinal Data written by Volkert Siersma and published by . This book was released on 2008 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
