Theses and Dissertations

Open Access Theses and Dissertations
+ MIT Theses and Dissertations
+ Australian National University
Institut Pertanian Bogor

Jumlah Judul: 207 Judul

1. E. Yehuwalashet. 2016. Gravity and Magnetic Survey, Modelling and Interpretation in the Blötberget Iron-Oxide Mining Area, Bergslagen, Sweden. MSc, Uppsala University. [pdf]
2. J. C. Jansen. 2018. Small scale gravity anomalies observed in GRAIL gravity data. PhD, Colorado School of Mines. [pdf]
3. Q. Yin. 2017. Time-lapse gravity data at Prudhoe Bay : new understanding through integration with reservoir simulation models. MS, Colorado School of Mines.  [pdf]
4. A, Balza Morales. 2017. Joint interpretation of time-lapse gravity data and production data for a gas reservoir. MS, Colorado School of Mines. [pdf]
5. S. Mohammadi. 2014. Processing and Modeling of Gravity, Magnetic and Electromagnetic Data in the Falkenberg Area, Sweden. MSc, Uppsala University. [pdf]
6. T. D. Rapstine. 2015. Gravity gradiometry and seismic interpretation integration using spatially guided fuzzy c-means clustering inversion. MS, Colorado School of Mines. [pdf]
7. N. L. Foks. 2016. Using adaptive sampling and triangular meshes for the processing and inversion of potential field data. PhD, Colorado School of Mines. [pdf]
8. J. Zhang. 2015. Parts-based geophysical inversion with application to water flooding interface detection and geological facies detection. PhD, Colorado School of Mines. [pdf]
9. J. Lee. 2007. Effects of low-pass filtering on inversion of airborne gravity gradient data. MS, Colorado School of Mines. [pdf]
10. R. V. Woolf. 2007. Time lapse gravity monitoring at Coso geothermal field. MS, Colorado School of Mines. [pdf]
11. A. M. Reitz. 2007. Feasibility of time-lapse gravity gradiometry for reservoir monitoring. MS, Colorado School of Mines. [pdf]
12. C. D. Martinez. 2007. Quantitative interpretation of airborne gravity gradiometry data for mineral exploration. PhD, Colorado School of Mines. [pdf]
13. S. Guzman. 2015. Forward modeling and inversion of potential field data using partial differential equations. MS, Colorado School of Mines. [pdf]
14. Kattoum, Yaser. 2007. Evidence of ring-faults in Orientale fromgravity. MS, Colorado School of Mines. [pdf]
15. Whitsett, Robert Manning. 1975. Gravity measurements and their structural implications for the continental margin of southern Peru. PhD, Oregon State University. [pdf]
16. Veen, Cynthia A. 1981. Gravity anomalies and their structural implications for the southern Oregon Cascade Mountains and adjoining Basin and Range province. MS, Oregon State University. [pdf]

1. Bishop, Christopher. 2012. Interpretation and modelling of the Pedirka Basin (central Australia) using magnetics and gravity. MS, University of Western Australia. [pdf]
2. Ocker, Darcy. 2014. A magnetometer based payload for a PTOL UAV with application in geophysical surveys. MSc, University of Cape Town. [pdf]
3. Clark, David Alan. 2014. Integrated magnetics: contributions to improved processing and interpretation of magnetic gradient tensor data, new methods for source location and estimation of magnetisation, and predictive magnetic exploration models. PhD, Macquarie University. [pdf]
4. Alarifi, Saad Saud. 2017. High Resolution Gravity, Helicopter Magnetic, and Electromagnetic Study, Haile Gold Mine, South Carolina. MS, University of South Carolina. [pdf]
5. Pehlivan, Yusuf. 2015. Gravity, Magnetic, and Geologic Constraints on the Raton Basin of Southern Colorado, USA. MS, Florida State University. [pdf]
6. Miles, David M. 2013. Towards a Radiation Hardened Fluxgate Magnetometer for Space Physics Applications. MS, University of Alberta. [pdf]
7. Connard, Gerald George. 1979. Analysis of aeromagnetic measurements from the Central Oregon Cascades. MS, Oregon State University.  [pdf]
8. Huppunen, JoAnne L. 1983. Analysis and interpretation of magnetic anomalies observed in north-central California. PhD, Oregon State University. [pdf]
9. Ngwira, Chigomezyo Mudala. 2009. Geomagnetically induced current characteristics in southern Africa. Rhodes University. [pdf]
10. Nilsson, Andreas. 2011. Assessing Holocene and late Pleistocene geomagnetic dipole field variability. [pdf]
11. Hynönen, Reko. 2013. Geomagnetic activity and its sources during modern solar maximum. [pdf]
12. Davey, Elizabeth Anne. 2012. The earth’s magnetotail during varying levels of geomagnetic activity. University of Leicester. [pdf]
13. Xu, Zhonghua. 2011. Study of Geomagnetic Disturbances and Ring Current Variability During Storm and Quiet Times Using Wavelet Analysis and Ground-based Magnetic Data from Multiple Stations. [pdf]
14. Kelly, Gemma. 2013. Polar geomagnetism : developing models of high-latitude geomagnetic fields. [pdf]
15. Lotz, Stefan. 2009. Predictability of Geomagnetically Induced Currents using neural networks. Rhodes University. [pdf]

1. M. J. Wisniewski. 2015. A geophysical investigation of Jersey Valley geothermal field using magnetotelluric and gravity data. MS, Colorado School of Mines. [pdf]
2. A. R. Paré. 2018. DC resistivity inversion for structural information. MS, Colorado School of Mines. [pdf]
3. A. F. Majzoub. 2016. Characterization and Delineation of Karst Geohazards Along RM652 Using Electrical Resistivity Tomography, Culberson County, Texas. MS, Stephen F. Austin State University.[pdf]
4. J. Weißflog. 2017. Three-dimensional individual and joint inversion of direct current resistivity and electromagnetic data. PhD, TU Bergakademie Freiberg. [pdf]
5. L. Fu. 2011. Induced polarization effect in time domain: theory, modeling, and applications. MS, University of Utah. [pdf]
6. Z. Xu. 2013. Three-dimension Cole-Cole model inversion of induced polarization data based on regulated conjugate gradient method. PhD, University of Utah. [pdf]
7. Beka, Thomas Ibsa. 2016. Geoelectrical structures beneath Spitsbergen-Svalbard derived from magnetotelluric imaging. PhD, Universitetet i Tromsø. [pdf]
8. Paré, Andrew R. 2018. DC resistivity inversion for structural information. MS, Colorado School of Mines. [pdf]
9. Hassan, Asem Ahmed. 2009. Electrical resistivity method for water content characterisation of unsaturated clay soil. Durham University. [pdf]
10. Miller, Russell. 2015. A geometric approach to three-dimensional discrete electrical impedance tomography. University of Manchester. [pdf]
11. Xu, Tian. 2016. Application of direct current resistivity method to environmental and hydrological problems. Baylor University. [pdf]
12. Jones, Keleigh Ann. 2011. Cross-Borehole DC Resistivity Tomography of Sea Ice: Temporal and Spatial Variations in the Anisotropic Microstructure. Victoria University of Wellington.[pdf]
13. Yu, Hong. 2018. Modeling and characterization of electrical resistivity of carbon composite laminates. University of Delaware. [pdf]
14. Greenhalgh, Mark S. 2009. DC resistivity modelling and sensitivity analysis in anisotropic media. University of Adelaide. [pdf]
15. Al-Garni, Mansour Abdullah. 2007. Direct current resistivity investigation of groundwater in the Lower Mesilla Valley, New Mexico and Texas. MS, Colorado School of Mines. [pdf]
16. Greenhouse, John Phillips. 1963. The application of direct-current resistivity prospecting methods to ice masses. University of British Columbia. [pdf]
17. Li, Yaoguo. 1992. Inversion of three-dimensional direct current resistivity data. University of British Columbia. [pdf]
18. Plenderleith, Donald H. 1983. Linearized inverse theory applied to direct current resistivitymeasurements. University of British Columbia. [pdf]
19. Williams, Ceri Gwyn. 1996. Assessment of electrical resistivity properties through development of three-dimensional numerical models. PhD, University of Leicester.  [pdf]
20. Quick, D. H. 1973. The interpretation of induced polarization surveys. PhD, University of Leicester. [pdf]
21. Korteland, S. 2013. Quantitative characterization of solute transport processes in the laboratory using electrical resistivity tomography. Delft University of Technology. [pdf]
Degree: PhD, Penn State University. [pdf]
23. Joseph, Sheen. 2016. The Application of Spectral Induced Polarization to Determination of Hydraulic Conductivity. Victoria University of Wellington. [pdf]
24. Power, Christopher. 2014. Electrical Resistivity Tomography for Mapping Subsurface Remediation. University of Western Ontario. [pdf]
25. Korteland, S. 2013. Quantitative characterization of solute transport processes in the laboratory using electrical resistivity tomography. Delft University of Technology.  [pdf]
26. Kiflu, Henok Gidey. 2016. Improved 2D and 3D resistivity surveys using buried electrodes and optimized arrays: The multi-electrode resistivity implant technique (MERIT). Un27. iversity of South Florida. [pdf]
27. Kuntz, Zoé. 2016. Electrical Resistivity Tomography Investigations of Discontinuous Mountain Permafrost and its Relation to Elevation and Vegetation, Yukon. University of Ottawa. [pdf]
28. Zimmer-Dauphinee, James Robert. 2014. Seeing Below the Surface with Electrical Resistivity Tomography: Exploring the Deepest Reaches of Arkansas’ Tallest Prehistoric Mounds. MA, University of Arkansas. [pdf]
29. Nweze, Augustine. 2015. Characterization of the hydrostratigraphic units of the Sodwana area using the electrical resistivity method. University of Zululand. [pdf]

Electromagnetics (EM)
1. Bertrand, Edward. 2010. Magnetotelluric imaging beneath the Taiwan orogen: an arc-continent collision. PhD, University of Alberta. [pdf]
2. McLeod, Joseph. 2016. Magnetotelluric and controlled-source electromagnetic pre-injection study of Aquistore CO2 sequestration site, near Estevan, Saskatchewan, Canada. PhD, University of Manitoba. [pdf]
3. Zbinden, Dominik. 2015. Inversion of 2D Magnetotelluric and Radiomagnetotelluric data with Non-Linear Conjugate Gradient techniques. MSc, Uppsala University. [pdf]
4. Peacock, Jared Roy. 2012. Magnetotelluric monitoring. PhD, University of Adelaide. [pdf]
5. Zhang, Yuanhua. 1997. Wavelet transforms, neural networks and migration applied to magnetotellurics. PhD, University of Saskatchewan. [pdf]
6. Wisniewski, Matthew J. 2015. A geophysical investigation of Jersey Valley geothermal field using magnetotelluric and gravity data. MS, Colorado School of Mines. [pdf]
7. Maier, Rachel E. 2011. A petrophysical joint inversion of magnetotelluric and gravity data for enhanced subsurface imaging of sedimentary environments. PhD, University of Adelaide. [pdf]
8. Norvill, Margarita L. 2011. The use of distributed sensor arrays in electrical and electromagnetic imaging. Curtin University of Technology. [pdf]
9. Collins, Jamie Lynne. 2004. Detection of near-surface anisotropy in a weathered metamorphic schist using time-domain electromagnetics. Texas A&M University.  [pdf]
10. Mahardika, Harry. 2007. Coupled hydromechanical and electromagnetic responses in unsaturated porous media : theory, observation, and numerical simulations.
Degree: PhD, Colorado School of Mines. [pdf]
11. Toy, Cameron. 2015. Monitoring Shallow Vadose Zone Moisture Dynamics using Electrical Resistivity Tomography and Electromagnetic Induction. University of Waterloo.  [pdf]
12. Didana, Yohannes Lemma. 2016. Magnetotelluric imaging of conventional and unconventional geothermal resources. University of Adelaide. [pdf]
13. Myers, Krista Falcon. 2018. Groundwater and Thermal Legacy of a Large Paleolake in Taylor Valley, East Antarctica as Evidenced by Airborne Electromagnetic and Sedimentological Techniques. MS, Louisiana State University. [pdf]
14. Furukawa, Toshiko. 2008. Two-dimensional time domain electromagnetic migration. MS, University of Utah. [pdf]

Ground Penetrating Radar (GPR)
1. Shank, Jared Wyatt. 2013. A geophysical investigation to locate missing graves utilizing ground penetrating radar, electromagnetic, and magnetic methods. MS, Wright State University.  [pdf]
2. Dara, Rebwar Nasir. 2018. Using Ground Penetrating Radar (GPR) for identifying floodplain and riverbed structural heterogeneity and implications for groundwater-surface water exchange. University of Birmingham. [pdf]
3. Giannakis, Iraklis. 2016. Realistic numerical modelling of ground penetrating radar for landmine detection. University of Edinburgh. [pdf]
4. Hines, Margery Jeanne. 2014. Autonomous robotic detection of anti-personnel landmines using ground-penetrating radar and on-contact antennas. Northeastern University. [pdf]
5. Drake, Alexandra. 2015. Mapping of Massive Ground Ice Using Ground Penetrating Radar Data in Taylor Valley, McMurdo Dry Valleys of Antarctica. Uppsala University. [pdf]
6. Meehan, Tate. 2018. Multi-Channel Ground-Penetrating Radar for the Continuous Quantification of Snow and Firn Density, Depth, and Accumulation. MSc, Boise State University. [pdf]
7. Wahab, Saiful Wazlan. 2014. Assessing the condition of buried pipe using ground penetrating radar. MPhil, University of Birmingham. [pdf]
8. Homeister, Anne. 2015. Reflections in the dark : Ground-penetrating radar surveys for the detection of Viking Age and early medieval harbor remains in Sigtuna, Sweden. MSc, Stockholm University. [pdf]
9. Lane, Angela Louise.  2016. The use of ground penetrating radar to map soil physical properties that control water flow pathways in alluvial soils. MS, Agriculture, Massey University. [pdf]
10. Zhao, Shan. 2015. Development of analysis approach utilizing extended common mid-point method to estimate asphalt pavement thickness with 3-D GPR. Degree: MS, University of Illinois – Urbana-Champaign. [pdf]
11. Shofstall, Lisa. 2017. Class III / short line system inventory to determine 286,000 lb (129,844 kg) railcar operational status in Kansas and determination of ballast fouling using ground penetrating radar. MS, Kansas State University. [pdf]
12. Camara dos Santos Porto, Sabrina. 2017. Use of Ground Penetrating Radar (GPR) in a Study on Beach Morphodynamics at Red Reef Beach, Boca Raton, Florida. MS, Florida Atlantic University. [pdf]
13. Watson, Francis Maurice. 2016. Better Imaging for Landmine Detection: An exploration of 3D full-wave inversion for ground-penetrating radar. University of Manchester. [pdf]
14. Camilo, Joseph. 2017. Statistical Modeling to Improve Buried Target Detection with a Forward-Looking Ground-Penetrating Radar. Duke University. [pdf]
15. Cross, James. 2014. Low-frequency electromagnetic fields for the detection of buried objects in the shallow sub-surface. PhD, University of Birmingham. [pdf]
16. Thompson, Sean M. 2014. Evaluation of Terrestrial Laser Scanning and Ground Penetrating Radar for Field-Based High-Throughput Phenotyping in Wheat Breeding. Texas A&M University. [pdf]
17. Bowling, Roy Douglas. 2017. Applications of Ground Penetrating Radar to Structural Analysis of Carbonate Terraces on the Island of Bonaire, Caribbean Netherlands. MS, Texas A&M University. [pdf]
18. Watson, Francis Maurice. 2016. Better imaging for landmine detection : an exploration of 3D full-wave inversion for ground-penetrating radar. PhD, University of Manchester. [pdf]
19. Boynton, William. 2015. Practical Use of Ground Penetrating Radar: A Survey of Coastal Historic Cemeteries in Brevard County, Florida. University of Central Florida. [pdf]
20. Heerema, Catharina. 2016. Wind driven snow accumulation variability and terrain : Establishing a relationship by using GPR on Svalbard. Uppsala University. [pdf]
21. Miller, Jacquelynn F. 2018. Utilizing Ground-Penetrating Radar in the Delineation and Cultural Resource Management of Eroding Maine Coastal Shell Middens.
Degree: MS, University of Maine. [pdf]
23. Dara, Rebwar Nasir. 2018. Using Ground Penetrating Radar (GPR) for identifying floodplain and riverbed structural heterogeneity and implications for groundwater-surface water exchange. University of Birmingham.  [pdf]
24. Sedoawu, Obed. 2015. Determination of water table depths using ground penetrating radar- A case study of Knust campus. PhD, Kwame Nkrumah University of Science and Technology.  [pdf]
25. Chan, Joanne H. 2015. Imaging Sedimentary Structures of the Monterey Dunes Using Ground Penetrating Radar. MS, California State University – East Bay. [pdf]
26. Amara, Akhil. 2016. Using Multi-Azimuth and Multi-Polarization Ground Penetrating Radar to Characterize a Fractured Fault Zone in Mason County, Texas. Texas A&M University. [pdf]
27. Tran, Anh Phuong. 2014. Full-wave inversion of near-field ground penetrating radar data for hydrogeophysical characterization of soil. Université Catholique de Louvain. [pdf]
28. Steelman, Colby Michael. 2012. Evaluating Vadose Zone Moisture Dynamics using Ground-Penetrating Radar. University of Waterloo. [pdf]

1. Sandy Kurniawan Suhardja. 2013. Mapping the Rivera and Cocos subduction zone. PhD, The University of Texas at Austin. [pdf]
2. Gilchrist, Jacquelyn Joan. 2015. Applications of Multi-Cycle Earthquake Simulations to Earthquake Hazard. University of California – Riverside. [pdf]
3. Andersson, Sara. 2015. B-Value Variations Preceding the Devastating, 1999 Earthquake, near Izmit, Turkey. Uppsala University.  [pdf]
4. Johansson, Stefan. 2017. Earthquake Analysis Using a Migration Based Detection Algorithm Applied to Local Earthquake Data. Uppsala University. [pdf]
5. Higby, Kevin Kenneth. 2016. The Effect of Fluid Flow in Fault Gouge During Simulated Earthquakes. MS, Texas A&M University.  [pdf]
6. Holmgren, Joanna. 2015. Induced Seismicity in the Dannemora Mine, Sweden. Uppsala University. [pdf]
7. Walters, Randi Jean. 2016. Understanding the risk of induced earthquakes associated with oil and gas development and procedures for risk mitigation. PhD, Stanford University. [pdf]
8. Mavrommatis, Andreas Petros. 2017. Long-term decrease in plate coupling prior to the 2011 Tohoku, Japan earthquake: Insights from GPS and seismicity data and physics-based models. PhD, Stanford University. [pdf]
9. Johnson, Kendra L. 2017. Applications of high resolution topography in tectonic geomorphology. PhD, Colorado School of Mines. [pdf]
10. Buhcheva, Darina. 2014. Shear-Wave Splitting Observed in Local Earthquake Data on the Reykjanes Peninsula, SW Iceland. Uppsala University. [pdf]
11. Elín Ásta Ólafsdóttir. 2016. Multichannel Analysis of Surface Waves for assessing soil stiffness. University of Iceland. [pdf]
12. Hicks, Malcolm Andrew. 2011. Geotechnical Investigations of Wind Turbine Foundations Using Multichannel Analysis of Surface Waves (MASW). University of Canterbury.  [pdf]
13. Yaede, Johnathan R. 2014. A New Geophysical Strategy for Measuring the Thickness of the Critical Zone. MS, Brigham Young University.  [pdf]
14. Ashruf, T.N. 2015. Surface Wave Analysis for the characterization of granular material deposits. Delft University of Technology.  [pdf]
15. Da Col, F. 2013. Surface Wave Tomography at Exploration Scale. Delft University of Technology. [pdf]

1. Agus Abdulah. 2011. Seismic wave attenuation beneath the Australasian region. PhD, Australian National University. [pdf]
2. Ida Herawati. 2002. The use of time-lapse p-wave impedance inversion to monitor a CO2 flood at Weyburn field, Saskatchewan. MS, Colorado School of Mines. [pdf]
3. M. Husni M. Lubis. 2007. Time-lapse 3D VSP monitoring of a CO2 injection project at Delhi Field, Louisiana. MS, Colorado School of Mines.  [pdf]
4. L. M. Zeigler. 2007. Modeling and mapping the effects of heat and pressure outside a SAGD steam chamber using time-lapse multicomponent seismic data, Athabasca oil sands, Alberta. MS, Colorado School of Mines. [pdf]
5. K. K. Schiltz. 2007. Multicomponent seismic reservoir characterization of a steam-assisted gravity drainage (SAGD) heavy oil project, Athabasca oil sands, Alberta. MS, Colorado School of Mines. [pdf]
6. E.M. Thomson. 2014. A 3D seismic velocity model for Canterbury, New Zealand for broadband ground motion simulation. University of Canterbury. [pdf]
7. Abubakar, Rabiu. 2016. Mapping petroleum migration pathways using magnetics, geochemistry and seismic mapping : case study, Wessex Basin, southern England, UK. PhD, Imperial College London. [pdf]
8. Vayavur, Rajesh. 2017. Seismic and potential field constraints on the shallow crustal structure of inner Bering shelf, offshore southwestern Alaska. PhD, Simon Fraser University.  [pdf]
9. Bandyopadhyay, Kaushik. 2009. Seismic anisotropy| Geological causes and its implications to reservoir geophysics. PhD, Stanford University.  [pdf]
10. Kamath, Nishant.  2016. Full-waveform inversion in 2D VTI media. PhD, Colorado School of Mines.  [pdf]
11. Xiao, Chunyan. 2006.  A comparison of different methods for estimating Thomsen anisotropy parameters. University of Calgary.  [pdf]
12. Wibowo, Noor C. 2018. Seismic reservoir characterization of the Najmah Formation, Raudhatain field, north Kuwait. PhD, Colorado School of Mines.  [pdf]
13. White, Matthew D. 2015. Time-lapse interpretation of P-wave data for a hydraulically fractured reservoir, Wattenberg field, Colorado. MS, Colorado School of Mines.  [pdf]
14. Wu, Xinming. 2016. 3D seismic image processing for interpretation. PhD, Colorado School of Mines. [pdf]
15. Nurhasan, Abdullah. 2018. 4D processing and time-lapse azimuthal amplitude analysis using legacy surveys for Niobrara reservoir characterization, Wattenberg field, Colorado. PhD, Colorado School of Mines. [pdf]
16. Bailey, Austin Ross. 2017. Examination of Anisotropy Using Amplitude Variation with Angle and Azimuth (AVAZ) in the Woodford Shale, Anadarko Basin, Oklahoma. MS, Colorado School of Mines.  [pdf]
17. Harryandi, Sheila. 2018. Facies modeling using 3D pre-stack simultaneous seismic inversion and multi-attribute probability neural network transform in the Wattenberg field, Colorado. MS, Colorado School of Mines. [pdf]
18. Boonyasatphan, Prat. 2017. Reservoir characterization for unconventional resource potential, Pitsanulok Basin, onshore Thailand. MS, Colorado School of Mines.  [pdf]
19. Avila Vizuett, Karla Cecilia. 2017. Application of the seismic quality factor versus offset and azimuth (QVOA) for fractured reservoir characterization. MS, Colorado School of Mines.  [pdf]
20. Omar, Samara. Multicomponent seismic analysis for velocity variations with azimuth related to horizontal transverse isotropy. MS, Colorado School of Mines.  [pdf]
21. Ibrahim, Amr Ahmed Mahmoud. 2015. Separating Simultaneous Seismic Sources using Robust Inversion of Radon and Migration Operators. PhD, University of Alberta. [pdf]
22. Zaman, Syed Omar. 2016. Reducing Risk in Lithology and Fluid Discrimination with Attributes Derived from Seismic Inversion. University of Houston. [pdf]
23. EL Khoury, Paul. 2018. Integration of rock physics and facies-based seismic inversion for reservoir characterization of the Ordovician Red River formation at Cedar Creek Anticline, Williston Basin, USA. PhD, Colorado School of Mines. [pdf]
24. Copley, Matthew Kupecz. 2018. Seismic characterization of Niobrara fluid and rock properties : a 4D study and multicomponent (3C) analysis. MS, Colorado School of Mines.  [pdf]
25. Boonyasatphan, Prat. Reservoir characterization for unconventional resource potential, Pitsanulok Basin, onshore Thailand. MS, Colorado School of Mines. [pdf]
26. Harryandi, Sheila. 2018. Facies modeling using 3D pre-stack simultaneous seismic inversion and multi-attribute probability neural network transform in the Wattenberg field, Colorado.  MS, Colorado School of Mines. [pdf]
27. Yousef, Baban Mustafa. 2016. Analysis of shear-wave response to fractures : a full waveform study of microseismic fracture imaging. University of Leeds. [pdf]
29. Riddle, Evan. 2015. Investigating the Tibetan crust through automatic S wave detection and travel-time tomography using the Hi-CLIMB seismic array. MS, Oregon State University. [pdf]
30. Chan, Ne Xun. 2014. One- and Three-dimensional P- and S-wave Velocity Models of Central and Southern Sweden Based on SNSN Data. Uppsala University. [pdf]
31. Gaines, David Paul. 2011. Advances in Seismic First-arrival Tomography. University of Tennessee – Knoxville. [pdf]
32. Storniolo, Rachel Elizabeth. 2012. Characterization of Wetting Front Geometry and Fluid Migration in the Vadose Zone Using Surface Time-Lapse Seismic First-Arrival Tomography. MS, University of Tennessee – Knoxville. [pdf]
33. Habimana, Emmanuel. 2016. Mapping lateral extent of Suevites at Northern Part of Lake Bosumtwi using resistivity and seismic refraction methods. Kwame Nkrumah University of Science and Technology. [pdf]

Modeling and Inversion
1. J. Sun. 2007. Joint inversion of multiple geophysical data and its application to geology differentiation. PhD, Colorado School of Mines. [pdf]
3. Almomin, Ali Ameen M. 2016. Tomographic full waveform inversion. PhD, Stanford University. [pdf]
4. Schneider, William A. 2016. A three-dimensional physical modeling study applying tomographic inversion and seismic migration to the tunnel detection problem. PhD, Colorado School of Mines. [pdf]
5. Cockett, Archa Rowan B. 2017. A framework for geophysical inversions with application to vadose zone parameter estimation . PhD, University of British Columbia.  [pdf]
6. Yaccup, Rahman. 2012. The spatial characterisation of contaminant distribution found at industrial sites using combined geophysical / hydrogeological fieldstudies and laboratory modelling. Cardiff University. [pdf]
7. Vaillant, Margaux Le. 2010. Geological – Geophysical 3D Modelling of the Mullikkoräme VMS deposit, Finland. Luleå University of Technology. [pdf]
8. Zhang, Jian. 2010. A genetic algorithm approach in interface and surface structure optimization. Iowa State University. [pdf]

Geophysical Survey/Monitoring
1. Hubbard, Jackson Durain. 2017. 3D Cave and Ice Block Morphology from Integrated Geophysical Methods: A Case Study at Scărişoara Ice Cave, Romania. University of South Florida. [pdf]
2. Smith, Matthew. 2014. Geophysical Detection of On-site Wastewater Plumes in the North Carolina Coastal Plain, USA. East Carolina University. [pdf]
3. Caldwell, Benjamin Thomas. 2014. An investigation of roots in forested ecosystems. University of California – Berkeley. [pdf]
4. Smith, Katelynn Marie. 2018. A Geophysical and Geological Analysis of a Regressive-Phase Lake Bonneville Deposit, Pilot Valley, NV. Brigham Young University. [pdf]
5. Targos, Courtney. 2017. Changes in channel geometry through the Holocene in the Le Sueur River, south-central Minnesota, USA. MS, University of Minnesota. [pdf]
6. Koganti, Triven. 2017. Three dimensional (3-D) mapping of soil properties using geophysical instruments. University of New South Wales. [pdf]
7. Swanson, Ryan David. 2007. Geophysical monitoring of solute transport in dual-domain environments through laboratory experiments, field-scale solute tracer tests, and numerical simulation. PhD, Colorado School of Mines. [pdf]
8. George, Andrew. 2006. Development of geoelectrical techniques for investigation and monitoring of landfills. Cardiff University.
9. Ogunsuyi, Oluwafemi. 2010. Geophysical characterization of Peace River landslide. MS, University of Alberta. [pdf]
10. Goode, Tomas Charles. 2013. Optimization of electrical geophysical survey design for hydrogeological applications and subsurface target discrimination. The University of Arizona.  [pdf]
11. Pellicer, Xavier Mir. 2010. Geophysical Characterisation and Evolutionary Model of the Quaternary sediments in the North Offaly region of Central Ireland. PhD, National University of Ireland – Maynooth. [pdf]
12. Cassisi, Carmelo. 2013. Geophysical time series data mining. Università degli Studi di Catania. [pdf]
13. Kutukhulu, Aaron W. 2010. Geophysical mapping of buried river channels and other shallow structures recharging major aquifers in the lake Nakuru basin, Kenya rift: case study from Kabatini aquifer. University of Nairobi. [pdf]
14. Chan, Judith S. 2013. Subsurface Geophysical Characterization of the Crystalline Canadian Shield in Northeastern Alberta: Implications for Geothermal Development. MS, University of Alberta. [pdf]

Oil and Gas Exploration
1. Klazinga, Dylan Richard. 2018. Numerical investigation of the geophysical response to methane migration in an unconfined aquifer with implications for hydrocarbon wellbore leakage. University of Waterloo.  [pdf]
3. Al-Farsi, Afkar Nadhim. 2008. Radiological aspects of petroleum exploration and production in the sultanate of Oman. [pdf]
4. Bribena, E K. Nigeria. 2011. Oil and gas exploration and the Niger delta question : a study in corporate social responsibility / E.K Bribena. North-West University.  [pdf]
5. Ofosu, F. 2017. Assessment of Impact of Oil and Gas Exploration and Production on Ecosystem Services and Human Livelihood: A Case Study of West Cape Three Points in the Western Region, Ghana. University of Ghana. [pdf]
6. Okop, Imeh. 2010. Development of methods for the analysis of petroleum contaminated soils. PhD, University of Manchester. [pdf]
7. Alhawas, I. 2014. Building a diagnostic tool: a preliminary exploration of Saudi Arabian petrol supply chain integration. RMIT University. [pdf]
8. Wahuemo, Gyude Muhlenburg. 2014. Hydrocarbon Exploration and Production on the Liberian Continental Shelf: Liberia`s obligations under International and National Law to Protect the Marine Environment. Universitetet i Tromsø. [pdf]

1. Warren, William Jackson. 2007. A geothermal exploration project in Pagosa Springs, Colorado. MS, Colorado School of Mines. [pdf]
2. Boler, Frances M. 1978. Aeromagnetic measurements, magnetic source depths, and the Curie point isotherm in the Vale-Owyhee, Oregon geothermal area. MS, Oregon State University. [pdf]
3. McLain, William Henry. 1981. Geothermal and structural implications of magnetic anomalies observed over the southern Oregon Cascade Mountains and adjoining Basin and Range province. MS, Oregon State University. [pdf]
4. Foote, Robert W. 1985. Curie-point isotherm mapping and interpretation from aeromagnetic measurements in the northern Oregon Cascades.
Degree: MS, Oregon State University. [pdf]
5. Axelsson, Gudni. 1980. Tidal tilt observations in the Krafla geothermal area in North Iceland. MS, Oregon State University. [pdf]
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1. Francés, Alain. 2015. Integration of hydrogeophysics and remote sensing with coupled hydrological models. LNEG. [pdf]
2. Nielson, Travis. 2017. Application of Hydrogeophysical Imaging in the Reynolds Creek Critical Zone Observatory. Boise State University. [pdf]
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4. Jeffries, Shannon Nicole. 2012. Transient Hydrogeophysical Investigation of a Gasoline Impacted Site, Enid, Oklahoma. Oklahoma State University. [pdf]
5. Kalisperi, Despina. 2009. Assessment of groundwater resources in the north-central coast of Crete, Greece using geophysical and geochemical methods. Brunel University. [pdf]
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1. Menzer, Jeremy G. 2015. Discovering Rock Features with Geophysical Exploration and Archaeological Testing at the Mississippian Pile Mound Site, Upper Cumberland Plateau, Tennessee. East Tennessee State University. [pdf]
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4. Hansen, James D. 2016. Comparison of near-surface geophysical techniques in forensic and archaeological investigations. PhD, Keele University.  [pdf]