Study on Optimization of Methane Hydrate Production System by Using Genetic Algorithm

遗传算法优化甲烷水合物生产系统的研究

基本信息

  • 批准号:
    14350532
  • 负责人:
  • 金额:
    $ 4.67万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 财政年份:
    2002
  • 资助国家:
    日本
  • 起止时间:
    2002 至 2003
  • 项目状态:
    已结题

项目摘要

There is no method established for recovering gas economically from subsurface hydrates because they exist as the solid sate, which is different from conventional oil and gas. In this study, we carried out laboratory experiments to clarify dissociation behavior of hydrates in sediments, and numerically evaluated hydrate production system. For finding appropriate gas production systems, we applied an optimization method using genetic algorithm.(1)Experiments on formation and dissociation of hydratesAn experimental apparatus was built for observing formation and dissociation behavior of hydrates in sediments. Experiments were carried out to analyze pressure/temperature behavior during formation and dissociation of CO2 hydrate in Berea sandstone core. The analysis of experimental data showed that gas recovery rate from hydrates in depressurization was much influenced by heat transfer from the surroundings, initial hydrate saturation, and permeability of sediments.(2)Economic evaluation fo … More r a hypothetical hydrate sedimentSimulation studies were carried out to investigate feasibility of hydrate gas production. The results showed that the following parameters were important to determine gas productivity from hydrates : well configuration (vertical and horizontal settings of well) ; length of horizontal section ; and thermal conductivity of upper and lower sediments adjacent to the hydrate sediment.(3)Production system optimization using genetic algorithmOptimization studies were carried out for a gas recovery process injecting hot water into hydrates in offshore Japan. Production parameters as temperature of injected water, volume of water injected, production period, and length of well horizontal section were optimized by using net present value of the gas recovery project as an objective function. This study showed a guideline for optimization of hydrate production system, although the calculated results were not precise due to a simplified geological model assumption because of little field data available on hydrate occurrence and amounts. Less
由于地下水合物是以固态存在的,不同于常规的石油和天然气,因此还没有建立从地下水合物中经济地回收天然气的方法。本文通过实验研究了沉积物中水合物的分解行为,并对水合物生成系统进行了数值模拟。为了找到合适的天然气生产系统,我们采用了遗传算法的优化方法。(1)水合物的生成与分解实验建立了一套水合物生成与分解实验装置。通过实验研究了贝雷砂岩岩心CO2水合物生成和分解过程中的压力/温度特性。实验数据分析表明,降压过程中水合物气体采收率受环境传热、水合物初始饱和度和沉积物渗透率的影响较大。(2)经济评价 ...更多信息 假设水合物沉积物进行了模拟研究,以探讨水合物天然气生产的可行性。结果表明,井的结构(垂直和水平井)、水平井段的长度以及水合物沉积物附近上下层沉积物的热导率是决定水合物产气量的重要参数。(3)基于遗传算法的生产系统优化研究以日本近海天然气水合物注热水开采为例,进行了生产系统优化研究。以采气工程净现值为目标函数,对注水温度、注水量、生产周期、水平段长度等生产参数进行了优化。该研究为水合物生产系统的优化提供了指导,尽管由于简化的地质模型假设,计算结果并不精确,因为很少有关于水合物产状和数量的现场数据。少

项目成果

期刊论文数量(42)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
藤田和男: "日本近海に眠るメタンハイドレート!"石油学会高山大会資源部会. 54-59 (2002)
Kazuo Fujita:“甲烷水合物位于日本附近海域!”日本石油学会高山会议资源小组委员会 54-59 (2002)。
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
藤田和男(共著): "世界の石油・天然ガス資源に関する2000年末評価"石油鉱業連明. 400 (2002)
Kazuo Fujita(合著者):《2000 年底世界石油和天然气资源评估》石油矿业联合会 400 (2002)。
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
LNGとのハイブリッド型発電によるメタンハイドレート開発導入の検討
考虑通过与液化天然气混合发电来开发和​​引入甲烷水合物
Evaluation of Economics and CO2 Emission for Developing Offshore Methane Hydrate Deposit
开发海上甲烷水合物矿床的经济性和二氧化碳排放评价
べレア砂岩内のガスハイドレートの分解挙動に関する実験的研究
伯里亚砂岩中天然气水合物分解行为的实验研究
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MASUDA Yoshihiro其他文献

Study of carbonation progress prediction on existing reinforced concrete buildings with variations in surface mortar layer
表面砂浆层变化的既有钢筋混凝土建筑碳化进度预测研究
CARBONATION PROGRESS OF ACTUAL RC BUILDINGS COVERED WITH OUTSIDE FINISHING MORTAR
外部饰面砂浆覆盖的实际 RC 建筑的碳化进程
  • DOI:
    10.3130/aijt.23.31
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    SATO Sachie;MASUDA Yoshihiro;田沼 毅彦,杉山 央, 桝田 佳寛
  • 通讯作者:
    田沼 毅彦,杉山 央, 桝田 佳寛

MASUDA Yoshihiro的其他文献

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{{ truncateString('MASUDA Yoshihiro', 18)}}的其他基金

Investigation on the effect of various factors on the rate of corrosion of reinforcing bar in concrete and estimation of the life of RC buildings
各种因素对混凝土中钢筋腐蚀速率的影响研究及RC建筑寿命估算
  • 批准号:
    21560579
  • 财政年份:
    2009
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Evaluation of the effect of repairing method for RC buildings related to it's maintenance
RC建筑维修方法效果评价与其维护相关
  • 批准号:
    19560561
  • 财政年份:
    2007
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Study on strength development and strength management method of high strength concrete in structure
结构中高强混凝土强度发展及强度管理方法研究
  • 批准号:
    17560496
  • 财政年份:
    2005
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Influence of Curing Method on Strength Development of Concrete Using Fly Ash
养护方法对粉煤灰混凝土强度发展的影响
  • 批准号:
    15560484
  • 财政年份:
    2003
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Application of Polymer Gelation Method to Blockage of Gaseak from CO2-Sequestered
聚合物凝胶法在CO2封存气孔堵塞中的应用
  • 批准号:
    13650984
  • 财政年份:
    2001
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
STUDY ON INFLUENCE OF MOISTURE CONTENT ON STRENGTH DEVELOPMENT OF HIGH-STRENGTH CONCRETE
含水率对高强混凝土强度发展影响的研究
  • 批准号:
    13650617
  • 财政年份:
    2001
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
EXPERIMENTS ON CHLORIDE ION PENETRATION INTO HARDENED CEMENT MATRIX
氯离子渗入硬化水泥基体的实验
  • 批准号:
    11650577
  • 财政年份:
    1999
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of New Oil Recovery Process Controlling Formation of Polymer Gel in Reservoirs
控制油藏聚合物凝胶形成的采油新工艺开发
  • 批准号:
    10650914
  • 财政年份:
    1998
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Fundamental Study on Gas Production from Sediments Containing Natural Gas Hydrates
含天然气水合物沉积物产气基础研究
  • 批准号:
    07455409
  • 财政年份:
    1995
  • 资助金额:
    $ 4.67万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)

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Optimization using fast evolutionary type genetic algorithm for CFD analysis
使用快速进化型遗传算法进行 CFD 分析的优化
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