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Petrophysical Evaluation of Gas Hydrates : Estimation of Hydrate Saturation, Krishna Godavari Basin, India

机译:天然气水合物的岩石物理评价:印度克里希纳戈达瓦里盆地水合物饱和度的估算

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The Natural Gas Hydrate Program Expedition (NGHP) has been formed to explore and develop the gas hydrate resources of Indian subcontinent in three stages. The first stage was to identify the presence of gas hydrate deposits in Indian Offshore Basins and the second stage was to identify gas hydrate in sand rich geological setting within gas hydrate stability zone and suitable locations for production testing. During the second stage, 42 gas hydrate wells at 25 sites were completed in deep water areas of Krishna Godavari and Mahanadi offshore in Eastern Coast of India. This paper provides an insight into formation evaluation techniques as effective tools of evaluating gas hydrate saturation. During the second stage of the expedition; LWD, wireline well log data and pressure cores were acquired and they have been used for estimation and validation of gas hydrate saturations. The gas hydrate saturation have been estimated by three methods viz., standard deterministic Archie method, probabilistic method using ELANPlus model and Density Magnetic Resonance (DMR) technique. This paper also emphasizes the estimation of gas hydrate saturation considering gas hydrate as a part of matrix in the ELANPlus model and validation with pressure core results. In Petrophysical model, hydrate can be considered either as a pore-filling hydrocarbon (fluid) or as a matrix mineral (rock constituent). When it is assigned as a pore-filling hydrocarbon, the model calculates the matrix volumes & porosity and calculates the water saturation in the same way as the basic interpretation model. When the hydrate is considered as a constituent of the matrix in the model, hydrate volume is calculated and the hydrate saturation is then arrived at by dividing this volume by the total porosity. Hydrate is invisible to Nuclear Magnetic Resonance (NMR) measurements. In DMR technique, the deficit in NMR porosity as compared to Density porosity is used to estimate the hydrate volume accurately. Gas hydrate saturation estimation in one of the well drilled during the second stage of the expedition from Krishna Godavari basin is discussed in detail in this paper. Gas hydrate saturation estimated from DMR method is found to be close agreement with other methods such as deterministic Archie and ELANPlus based probabilistic methods. The gas hydrate saturation is found to be in the range of 20-60% in the considered well. The results have been validated with gas hydrate saturation obtained from pressure cores retrieved from the nearby core hole.The present approach is to estimate gas hydrate saturation with different methods and validation with pressure core data to minimize uncertainty in estimation of petrophysical parameters for such type of unconventional reservoirs.
机译:自然天然气水合物计划探险(NGHP)已形成,以探索和发展三个阶段印度次大陆的天然气水合物资源。第一阶段是鉴定印度海上盆地的天然气水合物沉积物的存在,第二阶段是在天然气水合物稳定区和合适的生产测试位置鉴定沙子浓稠的地质环境中的天然气水合物。在第二阶段,在印度东部海岸的Krishna Godavari和Mahanadi海上的深水区,在25个位点处完成了42个天然气水合物。本文介绍了对形成评估技术的洞察,作为评估天然气水合物饱和度的有效工具。在探险的第二阶段; LWD,获取有线井日志数据和压力核心,它们已被用于估计和验证天然气水合物饱和。天然气水合物饱和度估计了三种方法,标准确定性archie方法,使用ELANPLUS模型和密度磁共振(DMR)技术的概率方法。本文还强调了考虑气体水合物作为矩阵中的一部分的气体水合物饱和度和压力核心结果的验证。在岩石物药模型中,水合物可以被认为是孔填充烃(流体)或基质矿物(岩石成分)。当它被分配为孔填充烃时,该模型以与基本解释模型相同的方式计算矩阵体积和孔隙率并计算与基本解释模型相同的方式。当水合物被认为是模型中基质的组分时,计算水合物体积,然后通过将该体积除以总孔隙率来达到水合物饱和。水合物对核磁共振(NMR)测量是看不见的。在DMR技术中,与密度孔隙率相比,NMR孔隙度的缺陷用于精确估计水合物体积。本文详细讨论了在克里希纳戈瓦里盆地的探险第二阶段钻孔中的一个钻井中的气体水合物饱和度估计。从DMR方法估计的气体水合物饱和度被发现与其他方法相一致,例如确定性的Archie和基于ElanPlus的概率方法。在考虑的良好中发现气体水合物饱和度在20-60%的范围内。通过从附近的核心孔中检索的压力芯获得的气体水合物饱和度进行了验证。本方法是用压力核心数据估计具有不同方法和验证的天然气水合物饱和,以最小化在这种类型的岩石物理参数估计中的不确定性非传统水库。

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