Publications

Hadgu, Teklu H.; Dewers, Thomas D.; Matteo, Edward N.; Gomez, Steven P.

Abstract not provided.

Matteo, Edward N.; Dewers, Thomas D.; Gomez, Steven P.; Hadgu, Teklu H.; Zheng, L.Z.; Lammers, L.L.; Fox, P.F.; Chang, C.C.; Xu, H.X.; Borglin, S.B.; Whittaker, M.W.; Chou, C.C.; Tournassat, N.T.; Subramanian, S.S.; Wu, Y.W.; Nico, P.N.; Gilbert, B.G.; Kneafsey, T.K.; Caporuscio, F.A.; Sauer, K.B.; Rock, M.J.; Kalintsev, A.K.; Migdissov, A.M.; Alcorn, C.A.; Buck, E.C.; Yu, X-Y Y.; Yao, J.Y.; Son, J.S.; Reichers, S.L.; Klein-BenDavid, O.K.; Bar-nes, G.B.; Meeusen, J.C.; Gruber, C.G.; Steen, M S.; Brown, K.G.; Delapp, R.D.; Taylor, A.J.; Ayers, J.A.; Kosson, D.S.

This report describes research and development (R&D) activities conducted during fiscal year 2020 (FY20) specifically related to the Engineered Barrier System (EBS) R&D Work Package in the Spent Fuel and Waste Science and Technology (SFWST) Campaign supported by the United States (U.S.) Department of Energy (DOE). The R&D activities focus on understanding EBS component evolution and interactions within the EBS, as well as interactions between the host media and the EBS. A primary goal is to advance the development of process models that can be implemented directly within the Generic Disposal System Analysis (GDSA) platform or that can contribute to the safety case in some manner such as building confidence, providing further insight into the processes being modeled, establishing better constraints on barrier performance, etc. The FY20 EBS activities involved not only modeling and analysis work, but experimental work as well. Despite delays to some planned activities due to COVID-19 precautions, progress was made during FY20 in multiple research areas and documented in this report as follows: (1) EBS Task Force: Task 9/FEBEX Modeling Final Report: Thermo-Hydrological Modeling with PFLOTRAN, (2) preliminary sensitivity analysis for the FEBEX in-situ heater test, (3) cement-carbonate rock interaction under saturated conditions: from laboratory to modeling, (4) hydrothermal experiments, (5) progress on investigating the high temperature behavior of the uranyl-carbonate complexes, (6) in-situ and electrochemical work for model validation, (7) investigation of the impact of high temperature on EBS bentonite with THMC modeling, (8) sorption and diffusion experiments on bentonite, (9) chemical controls on montmorillonite structure and swelling pressure, (10) microscopic origins of coupled transport processes in bentonite, (11) understanding the THMC evolution of bentonite in FEBEX-DP—coupled THMC modeling, (12) modeling in support of HotBENT, an experiment studying the effects of high temperatures on clay buffers/near-field, and (13) high temperature heating and hydration column test on bentonite.

Hadgu, Teklu H.; Dewers, Thomas D.; Gomez, Steven P.; Matteo, Edward N.

This report outlines Sandia National Laboratories modeling studies applied to Stage 1 and Stage 2 of the Full-scale Engineered Barriers Experiment in Crystalline Host Rock (FEBEX) in situ test for the SKB EBS Task Force Task 9. The FEBEX test was a full-scale test conducted over ~18 years at the Grimsel, Switzerland Underground Research Laboratory (URL) managed by NAGRA. It involved emplacing simulated waste packages, in the form of welded cylindrical heaters, inside a tunnel in crystalline granitic rock and surrounded by a bentonite barrier and cement plug. Sensors emplaced within the bentonite monitored the wetting-up, heating, and drying out of the bentonite barrier, and the large resulting data set provides an excellent opportunity for validation of multiphysics Thermal-Hydrological (TH), Thermal-Hydrologic-Chemical (THC), and Thermal-Hydrological-Mechanical (THM) modeling approaches for underground nuclear waste storage and the performance of engineered bentonite barriers. The present status of the EBS Task Force is finalizing Task 9, which follows years of modeling studies of the FEBEX test, by many notable modeling teams (Gens et al., 2009; Sanchez et al. 2010; 2012; Samper et al., 2018). These modeling studies generally use two-dimensional axisymmetric meshes, ignoring threedimensional effects, gravity and asymmetric wetting and dry out of the bentonite engineered barrier. This study investigates these effects with use of the PFLOTRAN THC code with massively parallel computational methods in modeling FEBEX Stage 1 and Stage 2 results. The PFLOTRAN numerical code is an open source, state-of-the-art, massively parallel subsurface flow and reactive transport code operating in a high-performance computing environment (Hammond et al., 2014). Section 2 describes the applied partial differential equations describing mass, momentum and energy balance used in this study, considerations derived by assuming phase equilibrium between gas and liquid phases, constitutive equations for granite, cement plug, and bentonite domains, and specific approaches for use inthe PFLOTRAN code. Section 3 describes the geometry, meshing, and model set-up. Section 4 describes modeling results, Section 5 compares modeling results to field testing data, and Section 6 gives conclusions. The Appendix provides detailed information required by the EBSTask Force for final reporting.

Hadgu, Teklu H.; Dewers, Thomas D.; Gomez, Steven P.; Matteo, Edward N.

Abstract not provided.

Hadgu, Teklu H.; Matteo, Edward N.; Gomez, Steven P.

Abstract not provided.

Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment

Weller, Sam D.; Hardwick, Jon; Gomez, Steven P.; Heath, Jason; Jensen, Richard P.; Mclean, Niall; Johanning, Lars

Marine renewable energy devices require mooring and foundation systems that suitable in terms of device operation and are also robust and cost effective. In the initial stages of mooring and foundation development a large number of possible configuration permutations exist. Filtering of unsuitable designs is possible using information specific to the deployment site (i.e. bathymetry, environmental conditions) and device (i.e. mooring and/or foundation system role and cable connection requirements). The identification of a final solution requires detailed analysis, which includes load cases based on extreme environmental statistics following certification guidance processes. Static and/or quasi-static modelling of the mooring and/or foundation system serves as an intermediate design filtering stage enabling dynamic time-domain analysis to be focused on a small number of potential configurations. Mooring and foundation design is therefore reliant on logical decision making throughout this stage-gate process. The open-source DTOcean (Optimal Design Tools for Ocean Energy Arrays) Tool includes a mooring and foundation module, which automates the configuration selection process for fixed and floating wave and tidal energy devices. As far as the authors are aware, this is one of the first tools to be developed for the purpose of identifying potential solutions during the initial stages of marine renewable energy design. While the mooring and foundation module does not replace a full design assessment, it provides in addition to suitable configuration solutions, assessments in terms of reliability, economics and environmental impact. This article provides insight into the solution identification approach used by the module and features the verification of both the mooring system calculations and the foundation design using commercial software. Several case studies are investigated: a floating wave energy converter and several anchoring systems. It is demonstrated that the mooring and foundation module is able to provide device and/or site developers with rapid mooring and foundation design solutions to appropriate design criteria.

International Journal of Greenhouse Gas Control

Dewers, Thomas D.; Eichhubl, Peter; Ganis, Ben; Gomez, Steven P.; Heath, Jason; Jammoul, Mohamad; Kobos, Peter H.; Liu, Ruijie; Major, Jonathan; Matteo, Edward N.; Newell, Pania; Rinehart, Alex; Sobolik, Steven R.; Stormont, John; Reda Taha, Mahmoud; Wheeler, Mary; White, Deandra

Desirable outcomes for geologic carbon storage include maximizing storage efficiency, preserving injectivity, and avoiding unwanted consequences such as caprock or wellbore leakage or induced seismicity during and post injection. To achieve these outcomes, three control measures are evident including pore pressure, injectate chemistry, and knowledge and prudent use of geologic heterogeneity. Field, experimental, and modeling examples are presented that demonstrate controllable GCS via these three measures. Observed changes in reservoir response accompanying CO2 injection at the Cranfield (Mississippi, USA) site, along with lab testing, show potential for use of injectate chemistry as a means to alter fracture permeability (with concomitant improvements for sweep and storage efficiency). Further control of reservoir sweep attends brine extraction from reservoirs, with benefit for pressure control, mitigation of reservoir and wellbore damage, and water use. State-of-the-art validated models predict the extent of damage and deformation associated with pore pressure hazards in reservoirs, timing and location of networks of fractures, and development of localized leakage pathways. Experimentally validated geomechanics models show where wellbore failure is likely to occur during injection, and efficiency of repair methods. Use of heterogeneity as a control measure includes where best to inject, and where to avoid attempts at storage. An example is use of waste zones or leaky seals to both reduce pore pressure hazards and enhance residual CO2 trapping.

Hadgu, Teklu H.; Gomez, Steven P.; Matteo, Edward N.

Abstract not provided.

Matteo, Edward N.; Gomez, Steven P.; Sobolik, Steven R.; Stormont, John C.; Dewers, Thomas D.; Taha, Mahmoud R.

Abstract not provided.

Babuska, Vit B.; Gomez, Steven P.

Abstract not provided.

Hadgu, Teklu H.; Gomez, Steven P.; Matteo, Edward N.

Abstract not provided.

Matteo, Edward N.; Sassani, David C.; Kuhlman, Kristopher L.; Freeze, Geoffrey A.; Brady, Patrick V.; Dewers, Thomas D.; Sobolik, Steven R.; Gomez, Steven P.; Taha, Mahmoud R.; Stormont, John C.

Abstract not provided.

Computers and Geotechnics

Gomez, Steven P.; Sobolik, Steven R.; Matteo, Edward N.; Reda Taha, Mahmoud; Stormont, John C.

This research aims to describe the microannulus region of the cement sheath-steel casing interface in terms of its compressibility and permeability. A wellbore system mock-up was used for lab-scale testing, and was subjected to confining and casing pressures in a pressure vessel while measuring gas flow along the specimen's axis. The flow was interpreted as the hydraulic aperture of the microannuli. Numerical joint models were used to calculate stress and displacement conditions of the microannulus region, where the mechanical stiffness and hydraulic aperture were altered in response to the imposed stress state and displacement across the joint interface.

Babuska, Vit B.; Gomez, Steven P.; Hammetter, Christopher H.; Smith, Scott A.; Murphy, Dylan M.

Abstract not provided.

Madison, Jonathan D.; Koepke, Joshua R.; Karnesky, Richard A.; Kinnan, Mark K.; Baca, Ana B.; Scott, Brian S.; Gomez, Steven P.; Hirschfeld, Deidre H.

Abstract not provided.

Babuska, Vit B.; Gomez, Steven P.; Hammetter, Christopher H.; Smith, Scott A.; Murphy, Dylan M.

Abstract not provided.

Gomez, Steven P.; Jensen, Richard P.; Heath, Jason

This memo documents the mechanical loading analysis performed on the second set of DTOcean program WP4 foundation and anchor systems submodule design iterations [4]. Finite Element Analysis (FEA) simulations were performed to validate design requirements defined by Python based analytic simulations of the WP4 program Naval Facilities Engineering Command (NAVFAC) tool. This FEA procedure focuses on worst case loading scenarios on shallow gravity foundation and pile anchor designs produced by WP4. These models include a steel casing and steel anchor with soft clay surrounding the steel components respectively.

Gomez, Steven P.; Jensen, Richard P.; Heath, Jason

This memo documents the mechanical loading analysis performed to date for the DTOcean program WP4 foundation and anchor systems submodule. FEA simulations were performed to validate design requirements defined by Python based analytic simulations of the WP4 program Naval Facilities Engineering Command (NAVFAC) tool. This FEA procedure focuses on worst case loading scenarios on direct mbedment anchor and suction caisson designs produced by WP4. These models include a steel casing and steel anchor with soft clay and dense sand surrounding the steel components respectively.

Sobolik, Steven R.; Gomez, Steven P.; Matteo, Edward N.; Dewers, Thomas D.; Newell, Pania N.; Stormont, John C.

Abstract not provided.

Sobolik, Steven R.; Gomez, Steven P.; Matteo, Edward N.; Dewers, Thomas D.; Newell, Pania N.; Stormont, John C.; Taha, Mahmoud R.

Abstract not provided.

49th US Rock Mechanics / Geomechanics Symposium 2015

Sobolik, Steven R.; Gomez, Steven P.; Matteo, Edward N.; Dewers, Thomas D.; Newell, Pania N.; Stormont, J.C.; Reda Taha, M.M.

This paper presents results of three models simulating the hydrological-mechanical behavior of a CO2 injection reservoir and the resulting effects on wellbore system (cement and casing) and seal repair materials. A critical aspect of designing effective wellbore seal repair materials is predicting thermo-mechanical perturbations that can compromise seal integrity. Three distinct computational models comprise the current modeling effort. The first model depicts bench-top experiments of an integrated seal system in an idealized scaled wellbore mock-up being used to test candidate seal repair materials. This model will be used to gain an understanding of the wellbore microannulus compressibility and permeability. The second is a field scale model that uses the stratigraphy, material properties, and injection history from a pilot CO2 injection operation to develop stress-strain histories for wellbore locations from 100 to 400 meters from an injection well. The results from these models are used as input to a more detailed model of a wellbore system. The 3D wellbore model examines the impacts of various loading scenarios on a wellbore system. The results from these models will be used to estimate the necessary thermal-mechanical properties needed for a successful repair material.