• Title/Summary/Keyword: 가스하이드레이트 포화도

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Characterization of thermal conduction for gas hydrate bearing in-situ sediments (울릉분지 현장 시료와 F110표준사를 이용한 GH함유토의 열전달 양상 분석)

  • Kim, Young Jin;Yun, T.S.
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.148.1-148.1
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    • 2011
  • 본 연구에서는 가스 하이드레이트의 미래 상업생산을 위한 연구활동으로 동해 울릉분지 현장시료를 채취하여 가스 하이드레이트 함유토의 열전도 현상에 관한 연구를 실시하였다. 두 종류의 현장시료를 이용하여 메탄 하이드레이트를 생성하여 공극비 및 포화도에 따라 조건을 달리하여 실험을 수행하였다. 열전도도 측정을 위하여 Transient Plane Source (TPS) 기법을 이용하였다. 현장시료의 사용에 앞서 예비실험으로써 F110표준사를 사용, 비교 분석 자료로써 활용하였다. 하이드레이트 생성 확률을 높이는 기법으로써 불포화시료를 동결, 해동 후 가스를 주입하였으며 동결된 불포화 시료의 열전달양상의 변화를 함께 고찰하였다. 실험결과, 하이드레이트의 포화도가 증가함에 따라 함유토의 열전도도의 증가함을 알 수 있어다. 거의 동일한 물과 GH의 열전도도에도 불구하고 하이드레이트 결정화 작용으로 동일한 포화도의 불포화 시료와 비교하여 약간의 상승을 보였다. 또한 공극비 및 흙을 구성하는 미네랄의 성분에 따라 열전도도의 발현 양상이 상이함을 관찰하였다. 이에 차후 하이드레이트 생산을 위한 현장 측정 및 전산 모사시 이에 관한 고려가 필요할 것으로 사료된다.

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Relationships between Gas Hydrate Occurrence Types and Sediment Characteristics in the Ulleung Basin, East Sea (동해 울릉분지의 가스 하이드레이트 산출형태와 퇴적물 특성의 관계)

  • Kim, Dae-Ha;Bahk, Jang-Jun;Lee, Jin-Heuck;Ryu, Byong-Jae;Kim, Ji-Hoon;Chun, Jong-Hwa;Torres, Marta E.;Chang, Chan-Dong
    • Economic and Environmental Geology
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    • v.45 no.4
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    • pp.397-406
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    • 2012
  • During the 2nd Ulleung Basin Gas Hydrate Drilling Expedition (UBGH2) in 2010, gas-hydrate-bearing sediment cores were recovered at 10 drill sites. Base, on Infrared (IR) thermal image and grain-size analysis of the cores, three distinct types of gas hydrate are classified: Type I (fracture-filling in mud layers), Type II (disseminated in mud layers), and Type III (pore-filling in sand layers). Types I and II gas hydrates occur in mud as discrete veins, nodules or disseminated particles. Type III fills the pore spaces of the sand layers encased in mud layers. In this case, the sand content of hosting sediments shows a general linear relationship with gas hydrate saturation. The degrees of temperature anomalies (${\Delta}T$) from IR images generally increase with gas hydrate saturation regardless of gas hydrate occurrence types. Type I is dominantly found in the sites where seismic profiles delineate chimney structures, whereas Type II where the drill cores are composed almost of mud layers. Type III was mainly recovered from the sites where hemipelagic muds are frequently intercalated with turbidite sand layers. Our results indicate that gas hydrate occurrence is closely related to sedimentological characteristic of gas hydrate-bearing sediments, that is, grain size distribution.

Calculation of Gas Hydrate Saturation Within Unconsolidated Sediments (미고결 퇴적층내 가스하이드레이트 포화도 계산)

  • Kim, Gil-Young
    • Geophysics and Geophysical Exploration
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    • v.15 no.2
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    • pp.102-115
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    • 2012
  • The purpose of this paper is to review several different methods calculating gas hydrate saturations. There are three methods using downhole log data, core data (including pressure core), and seismic velocity data. Archie's equation using electrical resistivity of downhole log data is widely used for saturation calculation. In this case, Archie's parameters should be defined accurately. And the occurrence types of gas hydrate significantly affect to saturation calculation. Thus saturation calculation should be carefully conducted. The methods using chlorinity and pressure core data are directly calculated from core sample. So far, the saturation calculated from pressure core gives accurate and quantitative values. But this method is needed much more time and cost. Thus acquisition of the continuous data with sediment depth is realistically hard. The recent several results show that the saturation calculated from resistivity data is the highest values, while the value calculated from pressure core is the lowest. But this trend is not always absolutely. Thus, to estimate accurate gas hydrate saturation, the values calculated from several methods should be compared.

Physical property evolution along gas hydrate saturation for various grain size distribution (다양한 입도분포에서의 하이드레이트 함유량에 따른 물성 변화 양상 연구)

  • Jung, Jaewoong;Lee, Jaehyung;Lee, Joo Yong;Lee, Minhui;Lee, Donggun;Kim, Sejoon
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.149-149
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    • 2011
  • 청정 에너지원으로 높은 잠재력을 가지고 있는 가스하이드레이트는 상업적 기술개발이 미확보된 상태임에도, 우리나라에서 부존이 직접적으로 확인되었기 때문에 에너지원으로서 그 중요성이 부각되고 있다. 현재 전세계적으로 가스하이드레이트 개발 및 생산에 관한 연구가 활발히 진행되고 있으며 이에 대한 기초자료로서 가스하이드레이트가 함유된 퇴적층의 물성자료가 필요하다. 이에 따라 본 연구에서는 입도 분포별 총 5가지의 미고결 시료를 대상으로 투과도, p파속도, 전기비저항 측정을 수행하였다. 연구에 사용된 미고결 시료는 Hama#5($774{\mu}m$), #6($485{\mu}m$), #7($258{\mu}m$), #8($106{\mu}m$) 4가지와 Hama#6과 Hama#7을 1:1($371{\mu}m$)로 혼합하여 사용하였다. 실험에 사용된 장비는 가스하이드레이트를 인공적으로 생성시키기 위해 퇴적층을 모사할 수 있는 고압셀과 자료획득장비, 유체 주입장비, 온도 유지장비이다. 또한 투과도 측정에는 차압계, 전기비저항 측정에 RLC meter, p파속도 측정에 음파 송수신장비를 사용하여 각각의 물성을 측정하였다. 실험과정을 단계별로 요약하면 먼저 시료를 고압셀에 충진한 뒤 주입된 물의 양으로부터 공극률을 측정하고, 절대 투수계수를 측정하였다. 그 후, 메탄가스를 주입하여 퇴적층 내 수포화도(water saturation)를 잔류상태(irreducible saturation)로 유지시키고 메탄가스를 추가적으로 주입하여 원하는 압력까지 가압한 뒤 온도를 $1^{\circ}C$로 낮추었다. 가스하이드레이트의 생성은 급격한 압력강하로부터 알 수 있다. 최종적으로 가스하이트레이트가 함유된 퇴적층의 상대 투수계수를 측정하기 위해 메탄가스를 주입하였고 각각의 측정장비를 통해 전기비저항 및 p파 속도를 측정하였다.$V_g$, $V_h$, $V_w$, $V_ss$는 각각 가스의 부피, 하이드레이트의 부피, 물의 부피, 모래의 부피이다. 또한 수포화도, $S_w=\frac{V_w}{V_v}$이며 하이드레이트 포화도, $S_h=\frac{V_w}{V_v}$, 가스 포화도, $S_g=\frac{V_g}{V_v}$로 정의된다. 본 실험의 결과 투과도는 가스의 부피비, $\frac{V_g}{V}=nS_g$에 민감한 반응을 보였으며, 비저항은 공극수의 부피비, $\frac{V_w}{V}=nS_w$에 민감한 반응을 보였다. 또한 p파 속도는 고체의 부피비, $\frac{V_s+V_h}{V}=n(1-S_h)$에 민감한 반응을 보였다. 이러한 실험의 결과는 가스하이드레이트 개발, 생산 연구에 있어 기초 물성자료로 활용되는데 도움을 줄 것이다.

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The Analysis of Dissociation Properties According to Gas Hydrate Saturation and Depressurization Rate (가스하이드레이트 포화율 및 감압률에 따른 해리특성 분석)

  • An, Seung-Hee;Chon, Bo-Hyun
    • Journal of the Korean Institute of Gas
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    • v.19 no.3
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    • pp.54-59
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    • 2015
  • The gas hydrate of 10 trillion tons are buried under continental slope in the world(permafrost : 2%, marine continental slope: 98%), but technology for the the commercial gas recovery has not developed yet. There are normally four representative recovery methods: depressurization method, thermal stimulation method, inhibition injection method, and displacement method. This study focuses on change of dissociation time and gas production according to gas hydrate saturation rate and depressurization rate. It was found that the correlation between depressrization rate and dissociation time was like as $Y=0.0004X^2-0.499X+176.86$. It was also found that the bigger depressurization rate is, the better production is(methane gas is produced over 46.2% at depressurization rate 50% compared with 40%). However, on the contrary to this, it is presumed that gas production is decreased at 60% due to gas hydrate reformation.

Development of a Numerical Simulator for Methane-hydrate Production (메탄 하이드레이트 생산 묘사를 위한 수치도구의 개발)

  • Shin, Hosung
    • Journal of the Korean Geotechnical Society
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    • v.30 no.9
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    • pp.67-75
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    • 2014
  • Methane gas hydrate which is considered energy source for the next generation has an urgent need to develop reliable numerical simulator for coupled THM phenomena in the porous media, to minimize problems arising during the production and optimize production procedures. International collaborations to improve previous numerical codes are in progress, but they still have mismatch in the predicted value and unstable convergence. In this paper, FEM code for fully coupled THM phenomena is developed to analyze methane hydrate dissociation in the porous media. Coupled partial differential equations are derived from four mass balance equations (methane hydrate, soil, water, and hydrate gas), energy balance equation, and force equilibrium equation. Five main variables (displacement, gas saturation, fluid pressure, temperature, and hydrate saturation) are chosen to give higher numerical convergence through trial combinations of variables, and they can analyze the whole region of a phase change in hydrate bearing porous media. The kinetic model is used to predict dissociation of methane hydrate. Developed THM FEM code is applied to the comparative study on a Masuda's laboratory experiment for the hydrate production, and verified for the stability and convergence.

3D Spatial Distribution Modeling for Petrophysical Property of Gas Hydrate-Bearing Sediment using Well Data in Ulleung Basin (울릉분지 시추공 분석 자료를 이용한 가스하이드레이트 함유층의 3차원 공간 물성 분포 추정)

  • Lee, Dong-Gun;Shin, Hyo-Jin;Lim, Jong-Se
    • Journal of Energy Engineering
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    • v.22 no.2
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    • pp.156-168
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    • 2013
  • Drilling expedition #1 in 2007 and drilling expedition #2 in 2010 were performed for gas hydrate resources evaluation and optimal site selection of pilot test in Ulleung basin, East Sea, Korea. This study presents to build the 3D spatial distribution models using the estimated sedimentary facies, porosity, and gas hydrate saturation derived by well logs and core analysis data from UBGH1-4, UBGH1-9, UBGH1-10, UBGH1-14, UBGH2-2-1, UBGH2-2-2, UBGH2-6, UBGH2-9, UBGH2-10 and UBGH2-11. The objective of 3D spatial distribution modeling is to build a geological representation of the gas hydrate-bearing sediment that honors the heterogeneity in 3D grid scale. The facies modeling is populating sedimentary facies into a geological grid using sequential indicator simulation. The porosity and gas hydrate saturation modeling used sequential Gaussian simulation to populate properties stochastically into grid cells.

Gas Hydrate Exploration by using PCS(Pressre Core Sampler): ODP Leg 204 (압력코어를 이용한 가스 하이드레이트 탐사: ODP Leg 204)

  • Lee Young-Joo
    • Economic and Environmental Geology
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    • v.38 no.2 s.171
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    • pp.165-176
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    • 2005
  • Natural gas in deep sediment may occur in three phases based on the physical and chemical conditions. If the concentration of gas in pore water is less than the solubility, gas is dissolved. If the concentration of gas is greater than its solubility (water is saturated or supersaturated with gas), gas occurs as a fee gas below the gas hydrate stability Lone (GHSZ) and is present as solid hydrate within the GHSZ. The knowledge of gas concentration in deep sediment appears critical to determine the phase of natural gases and to understand the formation and distribution of gas hydrate. However, reliable data on gas concentration are usually available only from the upper section of marine sediment by the headspace gas technique, which is widely used for sampling of gases from the sediments. The headspace gas technique represents only a fraction of gases present in situ because sediments release most of the gases during recovery and sampling. The PCS (Pressure Core Sampler) is a downhole tool developed to recover a nominal $1{\cal}m$ long, $4.32{\cal}cm$ diameter core containing $1,465cm^3$ of sediment, pore water and gas at in situ pressure up to 68.9 MPa. During Leg 204, the PCS was deployed at 6 Sites. In situ methane gas concentration and distribution of gas hydrate was measured by using PCS tool. Characteristics of methane concentration and distribution is different from site to site. Distribution of gas hydrate in the study area is closely related to characteristics of in situ gas concentration measured by PCS.

Well Data Interpretation using Software Developed for Estimation of Petrophysical Properties in Gas Hydrate Bearing Sediments in Ulleung Basin, Offshore Korea (가스하이드레이트 퇴적층 물성 추정 소프트웨어를 이용한 울릉분지 시추공 자료 해석)

  • Seo, Kwang-Won;Lim, Jong-Se
    • Journal of Energy Engineering
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    • v.21 no.1
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    • pp.55-67
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    • 2012
  • For the development of gas hydrate as new future energy resources, the drilling was carried out at the five locations where have high potential as gas hydrate bearing sediments in Ulleung basin, offshore Korea in 2007. Well log data were obtained from all wells and core data were procured from 3 wells, UBGH1-04, UBGH1-09 and UBGH1-10. In this study, user-friendly software, "KMU GH Logs 2010", is developed and this software is based on the estimation methods developed in previous study for gas hydrate bearing sediments and the properties estimated from UBGH1-04, UBGH1-09 and UBGH1-10. Petrophysical properties in un-cored wells, UBGH1-01 and UBGH1-14, are also estimated by using well log data. Porosity is estimated by density log and gas hydrate saturation is calculated by sonic log and resistivity log. Sedimentary facies are estimated by applying the linear discriminant analysis using both well log and sedimentary facies data from core analysis. It is confirmed that DITM facies and MSS facies appeared signs of gas hydrate disassociation are able to be distinguished by the method.