• Geomechanics and Engineering
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• 제28권5호
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• pp.437-454
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• 2022

The hydro-mechanical (HM) two-way sequential coupling in the TOUGH2-FLAC3D linking algorithm is validated completely and successfully in both M to H and H to M directions, which are initiated by mechanical surface loading for geomechanical validation and hydrological groundwater pumping for hydrogeological validation, respectively. For such complete and successful validation, a TOUGH2-FLAC3D linked numerical model is developed first by adopting the TOUGH2-FLAC3D linking algorithm, which uses the two-way (fixed-stress split) sequential coupling scheme and the implicit backward time stepping method. Two geomechanical and two hydrogeological validation problems are then simulated using the linked numerical model together with basic validation strategies and prerequisites. The second geomechanical and second hydrogeological validation problems are also associated with the Mandel effect and the Noordbergum and Rhade effects, respectively, which are three phenomenally well-known but numerically challenging HM effects. Finally, sequentially coupled numerical solutions are compared with either analytical solutions (verification) or fully coupled numerical solutions (benchmarking). In all the four validation problems, they show almost perfect to extremely or very good agreement. In addition, the second geomechanical validation problem clearly displays the Mandel effect and suggests a proper or minimum geometrical ratio of the height to the width for the rectangular domain to maximize agreement between the numerical and analytical solutions. In the meantime, the second hydrogeological validation problem clearly displays the Noordbergum and Rhade effects and implies that the HM two-way sequential coupling scheme used in the linked numerical model is as rigorous as the HM two-way full coupling scheme used in a fully coupled numerical model.

• 터널과지하공간
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• 제24권2호
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• pp.143-154
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• 2014

본 연구에서는 지오메카닉스모델을 이용한 가스하이드레이트 회수 생산 과정에서의 해리 발생 및 이에 따른 주변 퇴적층의 역학적 변형을 시뮬레이션 하였다. 지오메카닉스모델은 TOUGH+Hydrate와 FLAC3D 해석 코드를 순차적으로 반복해석하는 기법으로 감압법을 이용한 가스하이드레이트 회수 생산과정에서의 온도, 압력, 포화도 변화가 생산정 주변 퇴적층 내 유효응력, 강성 및 강도 변화에 미치는 영향을 고려할 수 있는 특징이 있다. 회수생산 방식에 따른 모델해석결과 비교를 통해, 감압법과 열자극법을 병행하는 경우 초기 생산량 증대를 가져올 수 있음을 보였다. 또한, 미고결 점토질 퇴적층에서의 회수생산 시 사암층에 비해 상대적으로 변형이 크게 발생함을 보였다.

• 자원환경지질
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• 제45권6호
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• pp.697-707
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• 2012

정량적인 산사태 취약성 분석은 산사태를 유발하는 인자 및 모델에 대한 접근방법에 따라 통계적 기법과 지질역학적 기법으로 구분된다. 이 중 지질역학적 기법은 산사태 모델을 가정하고 사면의 기하학적 특성과 사면 구성물질의 공학적 특성을 고려하여 산사태의 취약성을 판단하는 기법으로 산사태의 발생메커니즘과 과정을 고려할 수 있다는 장점을 가지고 있어 산사태의 취약성 분석에 가장 효과적인 기법 중의 하나로 보고되고 있다. 지질역학적 해석기법의 경우 최근 들어 무한사면모델이 주로 사면 모델로 사용되고 있으며 GIS의 활용을 통해 광역적인 지역에 대한 분석이 가능해짐에 따라 무한사면모델을 이용한 광역적인 지역에서의 산사태 취약성 분석이 가능해졌다. 기존의 무한사면모델을 활용한 연구의 경우 연구지역의 지하수위를 지반이나 강우의 특성에 대한 고려 없이 임의로 가정하여 해석함으로써 강우량과 연구지역의 지반특성에 따라 지하수위가 유동적으로 포화되는 것을 전혀 고려할 수 없는 문제점을 가지고 있다. 본 연구에서는 이를 보완하기 위해 산사태의 유발에 가장 큰 영향을 미치는 강우강도와 지반의 수리특성을 반영할 수 있는 수리학적 모델을 무한사면모델과 결합하여 연구지역의 현장 조건을 반영한 산사태 취약성 분석을 수행하였다. 또한 기존의 해석방법과 본 연구에서 제안된 해석기법을 비교분석하기 위하여 2006년 7월 대규모의 산사태가 발생한 강원도 진부지역을 대상으로 분석을 수행하였다. 그 결과 본 연구에서 제안된 해석기법이 기존의 해석기법에 비해 높은 예측 정확도를 보이는 것으로 분석되었다.

• Structural Engineering and Mechanics
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• 제66권4호
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• pp.505-513
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• 2018

Steam flooding is widely used in heavy oil reservoir with coupling effects among the formation temperature change, fluid flow and solid deformation. The effective stress, porosity and permeability in this process can be affected by the multi-physical coupling of thermal, hydraulic and mechanical processes (THM), resulting in a complex interaction of geomechanical effects and multiphase flow in the porous media. Quantification of the state of deformation and stress in the reservoir is therefore essential for the correct prediction of reservoir efficiency and productivity. This paper presents a coupled fluid flow, thermal and geomechanical model employing a program (MATLAB interface code), which was developed to couple conventional reservoir (ECLIPSE) and geomechanical (ABAQUS) simulators for coupled THM processes in multiphase reservoir modeling. In each simulation cycle, time dependent reservoir pressure and temperature fields obtained from three dimensional compositional reservoir models were transferred into finite element reservoir geomechanical models in ABAQUS as multi-phase flow in deforming reservoirs cannot be performed within ABAQUS and new porosity and permeability are obtained using volumetric strains for the next analysis step. Finally, the proposed approach is illustrated on a complex coupled problem related to steam flooding in an oil reservoir. The reservoir coupled study showed that permeability and porosity increase during the injection scenario and increasing rate around injection wells exceed those of other similar comparable cases. Also, during injection, the uplift occurred very fast just above the injection wells resulting in plastic deformation.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 1997년도 사면안정 학술발표회 논문집
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• pp.21-50
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• 1997

• Geomechanics and Engineering
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• 제16권3호
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• pp.331-339
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• 2018

Worldwide growth in hydrocarbon and energy demand is driving the oil and gas companies to drill more wells in complex situations such as areas with high-pressure, high-temperature conditions. As a result, in recent years the number of wells in these conditions have been increased significantly. Wellbore instability is one of the main issues during the drilling operation especially for directional and horizontal wells. Many researchers have studied the wellbore stability in complex situations and developed mathematical models to mitigate the instability problems before drilling operation. In this work, a fully coupled thermoporoelastic model is developed to study the well stability in high-pressure, high-temperature conditions. The results show that the performance of the model is highly dependent on the truly evaluated rock mechanical properties. It is noted that the rock mechanical properties should be evaluated at elevated pressures and temperatures. However, in many works, this is skipped and the mechanical properties, which are evaluated at room conditions, are entered into the model. Therefore, an accurate stability analysis of high-pressure, high-temperature wells is achieved by measuring the rock mechanical properties at elevated pressures and temperatures, as the difference between the model outputs is significant.

• Geomechanics and Engineering
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• 제37권3호
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• pp.223-241
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• 2024

Evaluating the performance of Tunnel Boring Machines (TBMs) stands as a pivotal juncture in the domain of hard rock mechanized tunneling, essential for achieving both a dependable construction timeline and utilization rate. In this investigation, three advanced artificial neural networks namely, gated recurrent unit (GRU), back propagation neural network (BPNN), and simple recurrent neural network (SRNN) were crafted to prognosticate TBM-rate of penetration (ROP). Drawing from a dataset comprising 1125 data points amassed during the construction of the Alborze Service Tunnel, the study commenced. Initially, five geomechanical parameters were scrutinized for their impact on TBM-ROP efficiency. Subsequent statistical analyses narrowed down the effective parameters to three, including uniaxial compressive strength (UCS), peak slope index (PSI), and Brazilian tensile strength (BTS). Among the methodologies employed, GRU emerged as the most robust model, demonstrating exceptional predictive prowess for TBM-ROP with staggering accuracy metrics on the testing subset (R² = 0.87, NRMSE = 6.76E-04, MAD = 2.85E-05). The proposed models present viable solutions for analogous ground and TBM tunneling scenarios, particularly beneficial in routes predominantly composed of volcanic and sedimentary rock formations. Leveraging forecasted parameters holds the promise of enhancing both machine efficiency and construction safety within TBM tunneling endeavors.

• Geomechanics and Engineering
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• 제36권6호
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• pp.601-618
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• 2024

The joint probability distribution of uncertain geomechanical parameters of geotechnical strata is a crucial aspect in constructing the reliability functional function for roof structures. However, due to the limited number of on-site exploration and test data samples, it is challenging to conduct a scientifically reliable analysis of roof geotechnical strata. This study proposes a Copula method based on small sample exploration and test data to construct the intensity characteristics of roof geotechnical strata. Firstly, the theory of multidimensional copula is systematically introduced, especially the construction of four-dimensional Gaussian copula. Secondly, data from measurements of 176 groups of geomechanical parameters of roof geotechnical strata in 31 coal mines in China are collected. The goodness of fit and simulation error of the four-dimensional Gaussian Copula constructed using the Pearson method, Kendall method, and Spearman methods are analyzed. Finally, the fitting effects of positive and negative correlation coefficients under different copula functions are discussed respectively. The results demonstrate that the established multidimensional Gaussian Copula joint distribution model can scientifically represent the uncertainty of geomechanical parameters in roof geotechnical strata. It provides an important theoretical basis for the study of reliability functional functions for roof structures. Different construction methods for multidimensional Gaussian Copula yield varying simulation effects. The Kendall method exhibits the best fit in constructing correlations of geotechnical parameters. For the bivariate Copula fitting ability of uncertain parameters in roof geotechnical strata, when the correlation is strong, Gaussian Copula demonstrates the best fit, and other Copula functions also show remarkable fitting ability in the region of fixed correlation parameters. The research results can offer valuable reference for the stability analysis of roof geotechnical engineering.

• Geomechanics and Engineering
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• 제28권4호
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• pp.359-374
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• 2022

Geology conditions are crucial in decision-making during the planning and design phase of a tunnel project. Estimation of the geology conditions of road tunnels is subject to significant uncertainties. In this work, the effectiveness of a novel regression method in estimating geological or geotechnical parameters of road tunnel projects was explored. This method, called Gaussian process regression (GPR), formulates the learning of the regressor within a Bayesian framework. The GPR model was trained with data of old tunnel projects. To verify its feasibility, the GPR technique was applied to a road tunnel to predict the state of three geological/geomechanical parameters of Rock Mass Rating (RMR), Rock Structure Rating (RSR) and Q-value. Finally, in order to validate the GPR approach, the forecasted results were compared to the field-observed results. From this comparison, it was concluded that, the GPR is presented very good predictions. The R-squared values between the predicted results of the GPR vs. field-observed results for the RMR, RSR and Q-value were obtained equal to 0.8581, 0.8148 and 0.8788, respectively.

• 한국가스학회지
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• 제25권1호
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• pp.20-29
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• 2021

투과성이 낮은 셰일층에서의 다단계 수압파쇄 시, 파쇄단계 간의 서로 근접한 균열로 인해 지층 간 응력간섭이 발생하는 '응력그림자효과'가 나타날 수 있다. 이로 인해 균열의 전파 방향성이 변화하거나 비정형적인 형태의 균열이 발생하게 된다. 본 연구에서는 응력그림자효과의 영향에 따른 수압파쇄 균열형태와 생산성을 분석하고자 상용 수압파쇄 시뮬레이터 full-3D모델인 'GOHFER'를 사용하였다. 균질한 저류층 모델에서 응력그림자효과 고려 유무에 따른 분석을 수행하였다. 또한 지력학적 물성이 다른 두 셰일층에서 수압파쇄 모델링을 수행하여 영률과 포아송비에 따른 응력그림자효과를 분석하였다. 선행 파쇄단계의 균열로 인한 응력변화는 최대/최소 주응력을 역전시켜 T-방향보다는 생산성이 미비한 L-방향 균열이 주로 형성되었다. 또한 Marcellus 셰일의 경우 연성 특성을 갖는 Eagle Ford 셰일에 비해 높은 취성으로 인해 균열의 폭이 더 두껍게 형성되어 균열 체적이 더욱 크게 산출되었다. Marcellus 셰일지층의 영률이 Eagle Ford 셰일에 비해 크게 낮기 때문에 stage 2에서 응력그림자효과의 영향을 적게 받는 것을 확인할 수 있었다. 이처럼 응력그림자효과는 균열 간의 간격 뿐만 아니라 지력학적 물성에 따라서도 크게 달라진다. 그러므로 좀 더 정확한 균열 형태와 현실성 있는 생산성 예측하기 위해 응력그림자효과는 고려되어야 한다.