Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021最新文献

{"title":"Geostatistical electromagnetic inversion for landfill characterization","authors":"J. Narciso, L. Azevedo, E. Vijver, M. Meirvenne","doi":"10.3997/2214-4609.202020154","DOIUrl":"https://doi.org/10.3997/2214-4609.202020154","url":null,"abstract":"","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":" 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132011131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data reconstruction using seismic interferometry applied to active-source data from the Ludvika Mines of Sweden","authors":"F. Balestrini, M. Sacchi, A. Malehmir, P. Marsden, R. Ghose, D. Draganov","doi":"10.3997/2214-4609.202020077","DOIUrl":"https://doi.org/10.3997/2214-4609.202020077","url":null,"abstract":"","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of flight height controlled UAV and ground vector magnetometer survey data covering an urban landfill","authors":"Ed Cunion","doi":"10.4133/SAGEEP.33-186","DOIUrl":"https://doi.org/10.4133/SAGEEP.33-186","url":null,"abstract":"An autonomous UAV-mounted 3-axis fluxgate vector magnetometer (FVM) was flown over a Golden, Colorado landfill to test map buried ferromagnetic objects and infrastructure. The flights test terrain following flight control software using active GNSS positioning over a fixed 1-meter (m) resolution LiDAR control surface, at slung sensor clearances that approach ground survey sensor heights. The FVM was first walked over the landfill with the sensor at a constant 2 m above the surface, to provide a high-resolution ground survey dataset for comparison. Both the UAV and ground FVM data are scalar calibrated on the ground through a full sphere to return error corrected and 360⁰ maneuver compensated total magnetic intensity (TMI). The comparison also includes UAV downward and ground survey upward continuation filtered (DCF and UCF) TMI respectively, to put the two surveys on approximately the same levels, providing two inverse-distance-magnetic-source viewpoints for both surveys, one at ground level and one at UAV level. The UAV survey DCF results indicate that low level flights might be considered as a replacement for coarser reconnaissance ground TMI surveys in some mapping situations. Lastly, the ground and UAV survey calibration data statistics are reviewed, and the FVM survey TMI images are compared with each other. These in turn, are compared with a highresolution alkali-vapor scalar magnetometer (AVM) benchmark TMI survey, walked on the same lines as the FVM. The AVM provides a reference standard to compare with both FVM surveys.","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131173514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-lapse target-oriented crosswell full-waveform inversion without downhole sources","authors":"S. Minato, R. Ghose","doi":"10.3997/2214-4609.201902393","DOIUrl":"https://doi.org/10.3997/2214-4609.201902393","url":null,"abstract":"Time-lapse seismics has a wide range of application in different scales, from near-surface to resource exploration. Crosshole seismics is used to characterize fluid reservoirs and to obtain highly resolved rock/soil-dynamic parameters e.g., elastic moduli and Poisson ratio. Developments in distributed acoustic sensing shows the potential of deploying permanent downhole receivers at low costs. In order to achieve an efficient and accurate time-lapse seismic measurement in such scenarios, we have developed a nonlinear waveform inversion to reconstruct velocity structure between boreholes using VSP data with source located only at the surface, and no downhole sources. The new approach formulates the forward modelling using wavefield representation theorem, which enables directly estimating the velocity structure by minimizing data residuals and calculating the gradient from the adjoint state problem. We test the approach using numerical modelling of time-lapse VSP data to detect layer-specific temporal changes. A heterogeneous shallow vadose zone represents a low-velocity layer. The results show that the new approach provides more stable and more accurate temporal velocity profiles than conventional full waveform inversion, when the initial velocity model does not include the shallow low-velocity layer. The new approach is robust and highly advantageous as it does not require downhole seismic sources.","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring soil profile variations during rainfall events using the MASW method","authors":"Zhiqu Lu","doi":"10.4133/sageep.33-146","DOIUrl":"https://doi.org/10.4133/sageep.33-146","url":null,"abstract":"","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126864045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges and opportunities for geothermal exploration and hydrothermal research: Recent advances utilizing geothermal play fairway analysis in the Western USA","authors":"J. Faulds, J. Shervais, P. Wannamaker, C. Forson, N. Lautze","doi":"10.4133/SAGEEP.33-083","DOIUrl":"https://doi.org/10.4133/SAGEEP.33-083","url":null,"abstract":"Although significant progress has been made in characterizing favorable settings for geothermal activity, barriers remain that inhibit the ability to assess potential resources, prioritize sites, and minimize risk ahead of expensive drilling. Resolution of these barriers requires multi-disciplinary approaches that integrate multiple data sets and utilize geostatistical techniques. Major challenges include defining logical relative rankings of each geological, geochemical, and geophysical parameter and combining multiple data sets into comprehensive geothermal potential/permeability maps.","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121903814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the resolution of Fresnel volume tomography with wavelength-dependent velocity smoothing","authors":"S. Rohdewald","doi":"10.4133/SAGEEP.33-169","DOIUrl":"https://doi.org/10.4133/SAGEEP.33-169","url":null,"abstract":"We demonstrate improvement in resolution of subsurface P-wave velocity tomograms incorporating Fresnel Volume Tomography and Wavepath Eikonal Traveltime inversion (WET) by engaging Wavelength-Dependent Velocity Smoothing (WDVS). We interpret synthetic traveltime data for Sheehan 2005 Broad Epikarst model to obtain sharper imaging of layer boundaries with WDVS. We use our default 1D-gradient starting model and a layered refraction Plus-Minus method starting model. Also we show improved resolution using WET+WDVS for a field survey using 9 shots into 24 channels. WDVS is most beneficial for profiles shorter than 100m with traveltime paths not much longer than a few wavelengths. WDVS will not help if reciprocal traveltime picking errors are too large. WDVS requires the exact specification of the used recording geometry. Sheehan 2005 Broad Epikarst Model Synthetic Data Interpretation Figure 1: Top: Broad Epikarst model (left) and 1D-gradient starting model (right). Bottom: 100 Steepest-Descent WET iterations using WDVS at 400Hz and 1D-gradient starting model (left). WET wavepath coverage plot using unit wavepaths per pixel (right). In Fig. 1 we show WET inversion (Schuster, 1993) of the synthetic traveltime data modeled for the Broad Epikarst model (Sheehan, 2005). We use our default 1D-gradient starting model obtained by laterally averaging the pseudo-2D DeltatV velocity (Sheehan, 2005). We enable WDVS (Zelt, 2016) for WET inversion (Rohdewald, 2020a). We use a WET wavepath width of 1.5% and minimal WET smoothing. Note the too low basement velocity where the wavepath coverage is lower (Fig. 1 Bottom). SAGEEP 2021 Page 305 D ow nl oa de d 07 /2 1/ 21 to 7 1. 19 .2 50 .2 15 . R ed is tr ib ut io n su bj ec t t o S E G li ce ns e or c op yr ig ht ; s ee T er m s of U se a t h ttp :// lib ra ry .s eg .o rg /p ag e/ po lic ie s/ te rm s D O I:1 0. 41 33 /s ag ee p. 33 -1 69 Figure 2: Top: Plus-Minus starting model (left). Smooth inversion with Plus-Minus starting model and WDVS engaged (right). Bottom: 100 Steepest-Descent WET iterations using Plus-Minus starting model with WDVS activated (left). Same WET inversion as shown at left but without WDVS (right). In Fig. 2 we show WET inversion of the same synthetic traveltime data as shown in Fig. 1 with the same WET settings but using our Plus-Minus method layered refraction starting model (Rohdewald, 2020a). Plus-Minus apparent velocity below anticlines is unrealistically high (Fig. 2 Top left). Note the lower velocity contrast at top-of-basement (yellow to red color transition) with velocity increasing more gradually with depth when disabling WDVS (Fig. 2 Bottom right). The anticline flanks are modeled more steeply with WDVS engaged (Fig. 2 Bottom left) as with 1D-gradient starting model (Fig. 1 Bottom left) and as in true model (Fig. 1 Top left). CAMP1 Field Data Interpretation with WET and WDVS Figure 3: Sample shot record (left). Picked times (solid) and WDVS modeled times (dashed) at right. Note the hig","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130907982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Snow coupled distributed acoustic sensing for intrusion detection of polar bears in arctic camps","authors":"D. Glaser, D. Costley, K. Hathaway, G. Boitnott, J. Weale","doi":"10.1002/essoar.10501731.1","DOIUrl":"https://doi.org/10.1002/essoar.10501731.1","url":null,"abstract":"","PeriodicalId":422629,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127029438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}