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Al Ahmadi, Kuwait

The Kuwait Oil Company is an oil company headquartered in Ahmadi, Kuwait. It is a subsidiary of the Kuwait Petroleum Corporation, a Government-owned holding company. KOC is the world's fourth-largest oil exporter. The managing director of the company is Hashim Sayd Hashim. Wikipedia.

AlHajri M.F.,Dalhousie University | AlHajri M.F.,Kuwait Oil Company | El-Hawary M.E.,Dalhousie University
IEEE Transactions on Power Delivery | Year: 2010

The radial distribution network structure is exploited in developing a fast and flexible radial power flow (FFRPF) solution technique. The cornerstone of this technique is constructing one single building block matrix, called the radial configuration matrix (RCM), which is utilized in carrying out the radial power flow backward/forward iterative steps. The RCM is designed to have a small condition number with a determinant and all of its eigenvalues be equal to one to ensure its invertibility. By incorporating this matrix and its direct descendant matrices in solving the power flow problem, the CPU execution time is decreased compared with other methods. The FFRPF method is flexible in accommodating any changes that may take place in an existing radial distribution system since these changes can be exclusively incorporated within this matrix. The FFRPF is tested by using several balanced and unbalanced three-phase radial distribution systems. © 2009 IEEE.

Al-Fedaghi S.,Kuwait University | Al-Azmi F.,Kuwait Oil Company
Journal of Convergence Information Technology | Year: 2011

The data, information, knowledge, and wisdom (DIKW) hierarchy manifests a structural and functional description of the processes that transform data into information, information into knowledge, and knowledge into wisdom. This paper introduces a new modeling methodology that treats data and information as the fundamental notions in theories of processing and transformation, thus avoiding the controversy surrounding the DIKW hierarchy. The resultant description aims at building a conceptual architecture of the evolution of data into higher levels in the ladder of processes in an organization. A sample project is used to illustrate the new approach.

Nashawi I.S.,Kuwait University | Malallah A.,Kuwait University | Al-Bisharah M.,Kuwait Oil Company
Energy and Fuels | Year: 2010

The year 2008 has witnessed unprecedented fluctuations in the oil prices.During the first three-quarters, the oil price abruptly increased to $140/bbl, a level that has never been reached before; then because of the global economic crisis, the price dramatically plunged to less than $50/bbl by the end of the year losing more than 64% of the maximum price in less than three months period. The supply of crude oil to the international market oscillated to follow suite according to the law of supply and demand. This behavior affected oil production in all exporting countries. Nonetheless, the demand for crude oil in some developing countries, such as China and India, has increased in the past few years because of the rapid growth in the transportation sector in addition to the absence of viable economic alternatives for fossil fuel. The rapid growth in fuel demand has forced the policy makers worldwide to include uninterrupted crude oil supply as a vital priority in their economic and strategic planning. Even though forecasting should be handled with extreme caution, it is always desirable to look ahead as far as possible to make an intellectual judgment on the future supplies of crude oil. Over the years, accurate prediction of oil production was confronted by fluctuating ecological, economical, and political factors, which imposed many restrictions on its exploration, transportation, and supply and demand. The objective of this study is to develop a forecastingmodel to predict world crude oil supply with better accuracy than the existing models. Even though our approach originates from Hubbert model, it overcomes the limitations and restrictions associated with the original Hubbert model. As opposed to Hubbert single-cycle model, our model has more than one cycle depending on the historical oil production trend and known oil reserves. The presented method is a viable tool to predict the peak oil production rate and time. The model is simple, accurate, and totally data driven, which allows a continuous updating once new data are available. The analysis of 47major oil producing countries estimates the world's ultimate crude oil reserve by 2140 BSTB and the remaining recoverable oil by 1161 BSTB. The world production is estimated to peak in 2014 at a rate of 79 MMSTB/D. OPEC has remaining reserve of 909 BSTB, which is about 78% of the world reserves. OPEC production is expected to peak in 2026 at a rate of 53 MMSTB/D. On the basis of 2005 world crude oil production and current recovery techniques, the world oil reserves are being depleted at an annual rate of 2.1%. © 2010 American Chemical Society.

El-Emam A.,Kuwait Oil Company
Oilfield Review | Year: 2010

Advances in land seismic acquisition and processing are improving characterization of both shallow anomalies and deep geologic targets. Among these are techniques for greater bandwidth, faster acquisition and enhanced sub-surface imaging in regions that have previously yielded poor results. Examples from Canada, Australia and the Middle East show the improvements achieved with these new methods. Copyright © 2010 Schlumberger.

A downhole tool for permeability calculation includes a body configured for insertion into and retraction from a horizontal well, and coupled with a computer system that includes an interface operable to receive (i) fluid properties associated with the horizontal well, under downhole production logging conditions; (ii) relative permeability to oil and relative permeability to water, for the horizontal well; and (iii) actual production logging data associated with the horizontal well. The computer system may also include one or more processors that are operable to (i) determine an approximate upper boundary and an approximate lower boundary of the horizontal well; (ii) divide the horizontal well into a plurality of well segments; and (iii) calculate, for each respective well segment, a horizontal permeability.

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