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Fast history matching of time-lapse seismic and production data for high resolution modelsJimenez, Eduardo Antonio 10 October 2008 (has links)
Integrated reservoir modeling has become an important part of day-to-day
decision analysis in oil and gas management practices. A very attractive and promising
technology is the use of time-lapse or 4D seismic as an essential component in subsurface
modeling. Today, 4D seismic is enabling oil companies to optimize production and
increase recovery through monitoring fluid movements throughout the reservoir. 4D
seismic advances are also being driven by an increased need by the petroleum
engineering community to become more quantitative and accurate in our ability to
monitor reservoir processes. Qualitative interpretations of time-lapse anomalies are being
replaced by quantitative inversions of 4D seismic data to produce accurate maps of fluid
saturations, pore pressure, temperature, among others.
Within all steps involved in this subsurface modeling process, the most
demanding one is integrating the geologic model with dynamic field data, including 4Dseismic
when available. The validation of the geologic model with observed dynamic
data is accomplished through a "history matching" (HM) process typically carried out
with well-based measurements. Due to low resolution of production data, the validation
process is severely limited in its reservoir areal coverage, compromising the quality of the
model and any subsequent predictive exercise. This research will aim to provide a novel
history matching approach that can use information from high-resolution seismic data to
supplement the areally sparse production data. The proposed approach will utilize
streamline-derived sensitivities as means of relating the forward model performance with
the prior geologic model. The essential ideas underlying this approach are similar to those
used for high-frequency approximations in seismic wave propagation. In both cases, this leads to solutions that are defined along "streamlines" (fluid flow), or "rays" (seismic
wave propagation). Synthetic and field data examples will be used extensively to
demonstrate the value and contribution of this work.
Our results show that the problem of non-uniqueness in this complex history
matching problem is greatly reduced when constraints in the form of saturation maps
from spatially closely sampled seismic data are included. Further on, our methodology
can be used to quickly identify discrepancies between static and dynamic modeling.
Reducing this gap will ensure robust and reliable models leading to accurate predictions
and ultimately an optimum hydrocarbon extraction.
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Performance Evaluation of Data Access Latency Hiding Techniques in Processor DesignJhang, Jia-hao 11 September 2007 (has links)
Due to the effect of deep submicron technology, the gap between processor speed and memory access performance increases continuingly. In order to improve performance degradation due to the performance gap, one way is to fetch the data about to be accessed by processor to buffer memory on the processor chip in advance. The memory access waiting time can thus reduced between main memory and cache memory on the processor. Previous research utilizes low-level techniques to pre-fetch data, such as insertion of pre-fetch instructions and pre-fetch with predicted data location based on dynamic learning. They do not utilize analysis on program¡¦s high-level data structure to assist data pre-fetch. In this research, we carried out performance evaluation on our proposed data pre-fetch technique based on analysis of high-level data structures. We also compare our method with some existing low-level data pre-fetch techniques. The evaluation metrics includes the accuracy of data pre-fetches, memory latency hiding, and overall execution performance.
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Uses data envelopment analysis to evaluate relative efficiencies of power plants in Taiwan Power CompanyLiang, Wen-hong 30 June 2008 (has links)
The achievements of operation in Taiwan Power Company, a state-run power supply enterprise, affect by the non-controllable factor such as energy policy and dispatcher factor and so on. The conclusion based on simplification for input and output because that these factors too complicated to concreted. This research uses data envelopment analysis (DEA) to evaluate relative efficiencies of power plants in Taiwan Power Company by involving variables of the capacity, manpower, the cost of operation and maintenance, net power output, through relevant documents. The slack variable analysis show that where these shortcomings are.
This main conclusions of this study are summarized as follows:
The empirical results indicate that the best average relative efficiency of 5 power plants are the TaiChung thermal power plant, 3rd nuclear power plant, 2nd nuclear power plant, 1st nuclear power plant and the Eastern hydropower plant. The worst 5 power plants are The Takuan hydropower plant, Mingtan hydropower plant, DaLin thermal power plant, Nan-Pu thermal power plant and the Jhuolan hydropower plant.
The slack variable vnalysis show that there are the eight idle installed capacity, three idle personnel and seven over cost of operation and maintenance of the power plant to carry on the self-criticism.
The good average relative efficiency power plant among seven hydropower plants are Mingtan; But the bad relative efficiency is Jhuolan power plant. Enhances management achievements of the hydropower plant department, should first have the four idle installed capacity, three idle personnel and two over cost of operation and maintenance of the power plant to carry on the self-criticism.
By the three nuclear power plant for the analysis object knew its relative efficiency to be best by the 3rd site, the 2nd site is the worst. Enhances management achievements of the nuclear power plant, should first have the one idle personnel and two over cost of operation and maintenance of the power plant to carry on the self-criticism.
For analyzing the object knowing relative efficiency by eight thermal power plants, the best is the Taichung power plant; but relative bad efficiency is the DaLin power plant. Enhances management achievements part the thermal power plant should first have the four idle installed capacity, four idle personnel and six over cost of operation and maintenance of the power plant to carry on the self-criticism.
From four type of analyses, the technical efficiency is bigger than overall efficiency in Taipower company. Because the input efficiency over the output efficiency ratio is inadequate, therefore, we may promote overall efficiency by the way of the improvement of scale efficiency.
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The Research of Population Census with Data Mining Technology and GISChang, Chin-jui 17 July 2009 (has links)
This article offers the results of creative research: (1) Suggestions on a research structure for data mining visulization with GIS. (2) A search for the distribution of various population groups in society using the census 2000 as research background.
In single-parent families, aborigines and the elderly have long been considered disadvantaged social classes, and their widening problems will have a tremendous impact and influence on society. This study aims to apply data mining techniques to investigate the demographic features of socially disadvantaged groups in Taipei, Kaohsiung and Los Angeles County by using population data collected in the 2000 census to provide reference for social welfare decision makers in understanding these groups and forming policy. The demographic features, marital features and educational attainment of the heads of household in single-parent families and poverty lives were investigated. The demographic features, educational attainment and marital status of aborigines were analyzed. The marital features, educational attainment, care and life patterns of the elderly were studied.
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XML as a Format for Representation and Manipulation of Data from Radar CommunicationsAlfredsson, Anders January 2001 (has links)
<p>XML was designed to be a new standard for marking up data on the web. However, as a result of its extensible and flexible properties, XML is now being used more and more for other purposes than was originally intended. Today XML is prompting an approach more focused on data exchange, between different applications inside companies or even between cooperating businesses.</p><p>Businesses are showing interest in using XML as an integral part of their work. Ericsson Microwave Systems (EMW) is a company that sees XML as a conceivable solution to problems in the work with radar communications. An approach towards a solution based on a relational database system has earlier been analysed.</p><p>In this project we present an investigation of the work at EMW, and identification and documentation of the problems in the radar communication work. Also, the requirements and expectations that EMW has on XML are presented. Moreover, an analysis has been made to decide to what extent XML could be used to solve the problems of EMW. The analysis was conducted by elucidating the problems and possibilities of XML compared to the previous approach for solving the problems at EMW, which was based on using a relational database management system.</p><p>The analysis shows that XML has good features for representing hierarchically structured data, as in the EMW case. It is also shown that XML is good for data integration purposes. Furthermore, the analysis shows that XML, due to its self-describing and weak typing nature, is inappropriate to use in the data semantics and integrity problem context of EMW. However, it also shows that the new XML Schema standard could be used as a complement to the core XML standard, to partially solve the semantics problems.</p>
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Current and future application areas for external data in data warehousesNiklasson, Markus January 2003 (has links)
<p>External data is data that a company could acquire outside their internal systems. This external data could bring another dimension for the companies, and allow them to further understand the environment. External data incorporated into a data warehouse makes it possible to exploit a number of application areas. The comprehensive aim of this dissertation is to outline what application areas that companies exploits today and what the future will bring. To achieve this, an interview study among people working with external data and DWs have been conducted.</p><p>Based on the information gathered through the study, the most common application areas are address updates, credit information, and marketing. Some smaller application areas have also been identified. A discussion on what application areas that will come in the future, are also to be found.</p>
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Effective and efficient analysis of spatio-temporal data /Zhang, Zhongnan. January 2008 (has links)
Thesis (Ph.D.)--University of Texas at Dallas, 2008. / Includes vita. Includes bibliographical references (leaves 106-114)
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An application of the multinomial distribution to the auditing of human encoding errors.Lee, Charles Robert. January 1978 (has links)
Thesis (M.S.)--Ohio State University. / Bibliography: leaves 108-109. Available online via OhioLINK's ETD Center
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Efficient mining of association rules using conjectural informationLoo, Kin-kong. January 2001 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 71-72).
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Real-time engagement area dvelopment program (READ-Pro) /Burger, Joseph. January 2002 (has links) (PDF)
Thesis (M.S.)--Naval Postgraduate School, 2002. / Thesis advisor(s):Gordon Bradley, Saverio Manago. Includes bibliographical references (p. 87). Also available online.
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