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Basin and Petroleum System Modeling and Global Sensitivity Analyses of Natural Gas Hydrates- [electronic resource]
Basin and Petroleum System Modeling and Global Sensitivity Analyses of Natural Gas Hydrates- [electronic resource]
- 자료유형
- 학위논문
- Control Number
- 0016931943
- International Standard Book Number
- 9798379650919
- Dewey Decimal Classification Number
- 551.5
- Main Entry-Personal Name
- Dafov, Laura.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Stanford University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 1 online resource(227 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- General Note
- Advisor: Graham, Stephan.
- Dissertation Note
- Thesis (Ph.D.)--Stanford University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약Gas hydrate is a solid, ice-like, form of natural gas that is found in the low temperature, high pressure conditions of shallow sediment in deep marine environments and in permafrost regions at lesser quantity. This solid form of natural gas is extensively found offshore every continent on Earth and potentially has a greater amount of energy than all other forms of oil, gas, and coal combined. Therefore, it is of interest for industry, academia, and government sectors, particularly for nations that have limited domestic natural gas resources. Several gas hydrate test wells have been drilled in the past decade toward developing engineering solutions for producing gas hydrates, and more long-term drilling programs are in the works. Gas hydrates tie in with CO2 sequestration or storage, energy resources, the global carbon cycle, and geohazards. Gas hydrate-filled reservoir rocks can be self-sealing for unconventional natural gas exploration, but they can also serve as traps and seals for conventional natural gas accumulations beneath them.Basin and petroleum system modeling provides great opportunities for improving understanding of natural gas hydrates. This method is a quantitative algorithmic approach that utilizes diverse datasets including, but not limited to, well logs, paleontology, stratigraphy, petrophysics, and seismic data to make deterministic, iterative, forwardmodeling predictions. Broadly speaking, basin and petroleum system modeling integrates geology, geophysics, geochemistry, engineering, geostatistics, and rock physics to model the sedimentary and tectonic evolution of basins, as well as to model and predict the generation, migration, and accumulation of hydrocarbons in up to three dimensions through geologic time. Though widely used for the modeling of conventional oil and gas systems, basin and petroleum system modeling only recently has been used to study gas hydrate systems, with the first non-proprietary gas hydrate basin and petroleum system model published in 2015. Gas hydrate studies of recent years have focused on either present-day gas hydrate occurrence or gas hydrate production (in other words, on weeklong to month-long timescales). Consideration of gas hydrate systems as dynamic systems varying on year-long to multi-million year-long geologic timescales has been primarily restricted to relatively recent developments in geological and Earth systems modeling.Sensitivity analysis is the study of how variation of uncertain input parameters impacts the response of interest and has great potential application to basin and petroleum system modeling of gas hydrates. A couple of strengths of sensitivity analysis are that it helps determine which data are most important to acquire for reducing uncertainty and it can help simplify a complex problem by identifying less important input parameters. Local sensitivity analysis is a one-at-a-time sensitivity analysis technique that analyzes the effect of one parameter on a function at a time, keeping the other parameters fixed. It explores only a small fraction of the design space, especially when there are many parameters, and is a simple screening method that is widely used across disciplines. Furthermore, the local sensitivity analysis method does not evaluate parameter interactions for non-linear effects. On the other hand, global sensitivity analysis is a powerful tool that has never before been used for gas hydrate basin and petroleum system modeling despite it being effective at evaluating parameter interactions for non-linear effects. Global sensitivity analysis helps understand and simplify the complexity of problems and elucidates what model variables impact data, decisions, and forecasts. Global sensitivity analysis perhaps has not been coupled with basin and petroleum system modeling before because the software and code for this combination of methods did not exist.
- Subject Added Entry-Topical Term
- Hydrocarbons.
- Subject Added Entry-Topical Term
- Basins.
- Subject Added Entry-Topical Term
- Energy resources.
- Subject Added Entry-Topical Term
- Geological time.
- Subject Added Entry-Topical Term
- Geology.
- Subject Added Entry-Topical Term
- Natural gas.
- Subject Added Entry-Topical Term
- Gases.
- Subject Added Entry-Topical Term
- Seismic engineering.
- Subject Added Entry-Topical Term
- Petroleum engineering.
- Subject Added Entry-Topical Term
- Petroleum geology.
- Subject Added Entry-Topical Term
- Energy.
- Subject Added Entry-Topical Term
- Geomorphology.
- Subject Added Entry-Topical Term
- Geophysics.
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 84-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:643213
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