首页> 外文学位 >Advanced Reservoir Modeling and Fluid Flow Studies of Natural Gas Production from the Hydrate Reservoirs of the Alaska North Slope.
【24h】

Advanced Reservoir Modeling and Fluid Flow Studies of Natural Gas Production from the Hydrate Reservoirs of the Alaska North Slope.

机译:阿拉斯加北坡水合物储层天然气生产的高级储层建模和流体流动研究。

获取原文
获取原文并翻译 | 示例

摘要

The emerging possibility of the production of gas hydrates as an unconventional source of energy have spurred many objectives for research studies going on in this area. One of these is the U.S national hydrate research program with a primary goal of determining the tools and technologies for environmentally safe gas production from hydrate reservoirs. The work presented in this thesis is motivated by the need to provide reliable reservoir model-based predictions to support proposed long-term hydrate field production tests on the Alaska North Slope permafrost. While first order predictions have been made from reservoir models based on assumptions of homogeneity of properties, it has been shown that the degree of reservoir heterogeneity can significantly affect the quantitative and qualitative results.;This study is an advanced and robust evaluation of the gas production potential of hydrate reservoirs. The hydrate deposits within the region of Prudhoe Bay Unit (PBU) "L-Pad" and Mt. Elbert Well vicinity of the Milne Point Unit of the Alaska North Slope are primary subjects of investigation. It is an effort to build data-driven heterogeneous hydrate reservoir models by applying both conventional and novel methods of reservoir characterization to maximize the utilization of the available field data. Using well log data obtained from 78 L-Pad wells, geostatistical techniques were employed to obtain stochastic simulations of the 3D distribution of reservoir properties in the target hydrate units of the L-Pad region. Models for the Mt. Elbert deposit were developed by combining data obtained from well logs obtained during the 2007 Mt. Elbert stratigraphic test and a 3D seismic survey of the region. Additionally, wellbore flow assurance studies were coupled with reservoir models in order to predict potential production issues arising from the formation of secondary hydrates or ice within the wellbore fluids being produced under high pressure and low temperature conditions.;CMG STARS, a finite difference reservoir modeling software package, was used to solve the material and energy balance equations in which an equilibrium model of hydrate dissociation was used. The simulator also provides a means to couple artificial lift design of the wellbore with the reservoir model using established pressure drop-heat loss correlations. Gas and water production rates and the evolution of reservoir properties were extensively studied in varying production scenarios with depressurization as the primary recovery technique.;Predictions from 10 geostatistical realizations of the L-Pad model were within narrow ranges, which is an indication of the robustness and reliability of the model. Uncertainty assessment and sensitivity studies on the Mt. Elbert model showed that higher gas production rates were achieved in deeper (hence warmer) reservoirs and confirmed earlier studies that production from the Mt. Elbert prospect may too cold to be economically feasible. Furthermore, contrary to predictions from homogeneous models, the effect of secondary hydrate formation in the reservoir on gas flow was found to be very minimal. However, flow assurance and artificial lift design studies show that wellbore pressure and temperature conditions must be effectively managed to prevent formation of secondary hydrates or ice.
机译:天然气水合物作为非常规能源生产的可能性已经激发了该领域研究的许多目标。其中一项是美国国家水合物研究计划,其主要目标是确定从水合物储层生产对环境安全的天然气的工具和技术。本文提出的工作是由于需要提供可靠的基于储层模型的预测,以支持对阿拉斯加北坡多年冻土进行长期水合物田间生产测试的建议。虽然基于性质均一性的假设从储层模型中进行了一阶预测,但已表明储层非均质性程度会显着影响定量和定性结果。水合物储层的潜力。水合物沉积在Prudhoe Bay Unit(PBU)“ L-Pad”和Mt.阿拉斯加北坡米尔恩点单位的埃尔伯特韦尔附近地区是调查的主要对象。通过应用常规和新颖的储层表征方法来建立数据驱动的非均质水合物储层模型,以最大程度地利用可用的现场数据,这是一项努力。使用从78个L-Pad井获得的测井数据,采用地统计技术来获得L-Pad区域目标水合物单元中储层属性3D分布的随机模拟。山的模型。 Elbert矿床是通过合并从2007年山中获得的测井数据获得的数据而开发的。该地区的Elbert地层测试和3D地震勘测。此外,井眼流量保证研究与储层模型相结合,以预测在高压和低温条件下生产的井眼流体​​中二次水合物或冰的形成所引起的潜在生产问题.CMG STARS,有限差分储层模型软件包用于求解材料和能量平衡方程,其中使用了水合物离解平衡模型。该模拟器还提供了一种使用已建立的压降-热损失相关性将井筒的人工举升设计与储层模型耦合的方法。以降压为主要采收技术,在不同的生产情景下,对天然气和水的生产率和储层性质的演化进行了广泛的研究。; L-Pad模型的10个地统计学实现的预测都在狭窄范围内,这表明了鲁棒性和模型的可靠性。山的不确定性评估和敏感性研究。 Elbert模型显示,在较深的(因此较暖的)储层中,天然气的采出率更高,并且证实了较早的研究表明,从Mt.埃尔伯特的前景可能太冷,以至于在经济上不可行。此外,与均质模型的预测相反,发现储层中二次水合物形成对气流的影响非常小。但是,流量保证和人工举升设计研究表明,必须有效管理井眼压力和温度条件,以防止二次水合物或冰的形成。

著录项

  • 作者

    Ajayi, Taiwo.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Chemical engineering.;Petroleum engineering.;Petroleum geology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 190 p.
  • 总页数 190
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号