Browsing by Subject "monitoring"
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Item Above-zone pressure monitoring and geomechanical analyses for a field-scale CO2 injection project in Cranfield, MS(2014) Kim, S.; Hosseini, Seyyed A.Item Analysis of potential leakage pathways at the Cranfield, MS, U.S.A., CO2 sequestration site(2013) Nicot, J.-P.; Oldenburg, C.M.; Houseworth, J.E.; Choi, J.-W.Item Assessing leakage detectability at geologic CO2 sequestration sites using the probabilistic collocation method(2013) Sun, Alexander Y.; Zeidouni, M.; Nicot, J.-P.; Lu, Z.; Zhang, D.Item Assessing sensitivity to well leakage from three years of continuous reservoir pressure monitoring during CO2 injection at Cranfield, MS, USA(2013) Meckel, Tip A.; Zeidouni, M.; Hovorka, Susan D.; Hosseini, Seyyed A.Item Assessment of shallow subsea hydrocarbons as a proxy for leakage at offshore geologic CO2 storage sites(2018) Anderson, J.S.; Romanak, Katherine D.; Meckel, Tip A.Item Better Monitoring and Better Spying: The Implications of Emerging Technology for Arms Control (Fall 2021)(Texas National Security Review, 2021) Vaynman, JaneItem Brine flow up a well caused by pressure perturbation from geologic carbon sequestration: static and dynamic evaluations(2011) Birkholzer, J.T.; Nicot, J.-P.; Oldenburg, C.M.; Zhou, Q.; Kraemer, S.; Bandilla, K.Item Certification framework based on effective trapping for geologic carbon sequestration(2009) Oldenburg, C.M.; Bryant, S.L.; Nicot, J.-P.Item Chapter 3 - Field Observations of Geochemical Response to CO2 Injection at the Reservoir Scale(2019) Hovorka, Susan D.; Lu, JieminItem Characterizing CO2 storage reservoirs and shallow overburden for above-zone monitoring in Texas Gulf Coast EOR fields(2012) Zahid, K.M.; Hosseini, Seyyed A.; Nunez-Lopez, Vanessa; Hovorka, Susan D.Item CO2-brine relative permeability and capillary pressure of Tuscaloosa sandstone: Effect of anisotropy(2020-01-01) Bakhshian, Sahar; Hosseini, Seyyed A.; Lake, Larry W.Item Colorado River Diversion Project Reconnaissance Work to Establish Monitoring Stations in Matagorda Bay Near the Mouth of the Colorado River(1987) White, William Allen, 1939-; Calnan, Thomas R.Fifteen monitoring stations were established in the eastern arm of Matagorda Bay, west of the Colorado River Delta, in the area where the river is to be diverted by the U.S. Army Corps of Engineers (see fig. 1). All stations shown on figure 1 were located by triangulation, and their positions were recorded with respect to features existing on nautical chart 11319 or with respect to features located and plotted on the chart during the field survey. Twenty-foot sections of 2.5-inch PVC pipe were driven into the sediments at eight stations (see table 1) to mark selected deep-water and bay-center sites. The PVC pipes extend about 3 ft above the water. Six cedar posts, 2 inches in diameter by 6 ft long, were placed on land at strategic locations along the bayward side of Matagorda Peninsula. The locations of the posts were confirmed with reference to aerial photographs and were plotted on the nautical chart. The posts were used as reference markers to locate bay-margin sampling sites. The tops of the PVC pipes and fence posts were painted and flagged with orange fluorescent paint and tape. Because the sampling stations were also located by triangulation using more permanent navigation aids such as water tanks, radio antennas, houses, and bay markers, they can be relocated should the PVC pipes or cedar posts be removed.Item Constraining CO2 simulations by coupled modeling and inversion of electrical resistance and gas composition data(2013) Doetsch, J.; Kowalsky, M.B.; Doughty, C.; Finsterle, S.; Ajo-Franklin, J.B.; Carrigan, C.R.; Yang, X.; Hovorka, Susan D.; Daley, T.M.Item Corrosion model of CO2 injection based on non-isothermal wellbore hydraulics(2016) Islam, A.W.; Sun, Alexander Y.Item Cost-optimal design of pressure-based monitoring networks for carbon sequestration projects, with consideration of geological uncertainty(2018) Jeong, H.; Sun, Alexander Y.; Zhang, X.Item A deep learning approach to anomaly detection in geological carbon sequestration sites using pressure measurements(2019) Zhong, Z.; Sun, Alexander Y.; Yang, Q.; Ouyang, Q.Item Detecting CO2 leakage around the wellbore by monitoring temperature profiles: A scoping analysis(2017) Islam, A.W.; Sun, Alexander Y.Item Detection and characterization of CO2 leakage by multi-well pulse testing and diffusivity tomography maps(2016) Shakiba, M.; Hosseini, Seyyed A.Item DMP Monitoring as a Process Optimization Tool for Direct Metal Printing (DMP) of Ti6Al-4V(University of Texas at Austin, 2018) Ray, Nachiketa; Bisht, Manisha; Thijs, Lore; Van Vaerenbergh, Jonas; Coeck, SamMetal Additive Manufacturing (AM) has evolved as a production technique for rapid prototyping as well as high volume precision manufacturing. In this work, DMP Monitoring, a new feature of 3D Systems’ direct metal printer, ProX® DMP 320 has been used as a tool for process parameter optimization. The effect of the variations of process parameters like layer thickness, laser power, scan speed and hatch spacing on the physical and mechanical properties of the additively manufactured Ti-6Al-4V samples have been investigated. In addition to the conventional post-processing evaluation methods like Archimedes’ density, X-ray CT and tensile testing, new in-situ process monitoring tools are assessed and compared with the traditional evaluation methods.Item Efficient marine environmental characterization to support monitoring of geological CO2 storage(2021) Blackford, Jerry; Romanak, Katherine; Huvenne, Veerle A.I.; Lichtschlag, Anna; Strong, James Asa; Alendal, Guttorm; Schütz, Sigrid Eskeland; Oleynik, Anna; Dankel, Dorothy J.Carbon capture and storage is key for mitigating greenhouse gas emissions, and offshore geological formations provide vast CO2 storage potential. Monitoring of sub-seabed CO2 storage sites requires that anomalies signifying a loss of containment be detected, and if attributed to storage, quantified and their impact assessed. However, monitoring at or above the seabed is only useful if one can reliably differentiate abnormal signals from natural variability. Baseline acquisition is the default option for describing the natural state, however we argue that a comprehensive baseline assessment is likely expensive and time-bound, given the multi-decadal nature of CCS operations and the dynamic heterogeneity of the marine environment. We present an outline of the elements comprising an efficient marine environmental baseline to support offshore monitoring. We demonstrate that many of these elements can be derived from pre-existing and ongoing sources, not necessarily related to CCS project development. We argue that a sufficient baseline can be achieved by identifying key emergent properties of the system rather than assembling an extensive description of the physical, chemical and biological states. Further, that contemporary comparisons between impacted and non-impacted sites are likely to be as valuable as before and after comparisons. However, as these emergent properties may be nuanced between sites and seasons and comparative studies need to be validated by the careful choice of reference site, a site-specific understanding of the scales of heterogeneity will be an invaluable component of a baseline.