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Journal articles on the topic 'Crosswell'

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Published: 4 June 2021

Last updated: 1 February 2022

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1

Byun, Joongmoo, James W. Rector III, and Tamas Nemeth. "Postmap migration of crosswell reflection seismic data." GEOPHYSICS 67, no. 1 (2002): 135–46. http://dx.doi.org/10.1190/1.1451423.

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Vertical seismic profiling/common depth point (VSP‐CDP) mapping is often preferred to crosswell migration when imaging crosswell seismic reflection data. The principal advantage of VSP‐CDP mapping is that it can be configured as a one‐to‐one operation between data in the acquisition domain and data in the image domain and therefore does not smear coherent noise such as tube waves, guided waves, and converted waves as crosswell migration could. However, unlike crosswell migration, VSP‐CDP mapping cannot collapse diffractions; therefore, the lateral resolution of reflection events suffers. We pr

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2

Donadille, Jean-Marc, and Salah M. Al-Ofi. "Crosswell electromagnetic response in a fractured medium." GEOPHYSICS 77, no. 3 (2012): D53—D61. http://dx.doi.org/10.1190/geo2011-0227.1.

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We experimentally verified that material-averaging techniques can be used for numerically modeling the response of the crosswell electromagnetic (crosswell EM) system in a fractured medium. We have designed a scaled model of the crosswell EM system, and verified that the laboratory data are in good agreement with the simulated response for different cases of fractures present in a host medium. Simulations of realistic scenarios in a hydrocarbon-filled reservoir indicate that the presence of fracture clusters can significantly affect the crosswell EM system response. The magnitude of the effect

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3

Li, Gui Hua, Jian Guo Feng, Shu Hong Zhao, Gui Liang Li, and Wen Bo Zhang. "Application of Crosswell Seismic Technology in the Fine Reservoir Description." Advanced Materials Research 588-589 (November 2012): 1955–59. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1955.

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According to the instance of crosswell seismic in the district of daqing oil, this paper introduces crosswell seismic data acquisition, the processed results, the application of the parameter inversion and geological interpretation in fine reservoir description. Through these examples, this paper also discusses the crosswell seismic technology development status and further development trend.

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4

Rector, James W. "Crosswell methods: Where are we, where are we going?" GEOPHYSICS 60, no. 3 (1995): 629–30. http://dx.doi.org/10.1190/1.1443802.

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This special issue on crosswell methods was constructed in response to the large number of crosswell papers submitted during 1993 and 1994. The editorial staff felt that rather than distributing these papers throughout the year the society would be better served by having an archival volume composed completely of crosswell‐related papers. This was not a publicly solicited issue, and we undoubtedly did not receive some excellent papers that may have been submitted with a public solicitation. Nevertheless, we feel that this volume is an excellent snapshot of crosswell technology as it stood in 1

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5

Yu, Gang, Bruce Marion, Brad Bryans, et al. "Crosswell seismic imaging for deep gas reservoir characterization." GEOPHYSICS 73, no. 6 (2008): B117—B126. http://dx.doi.org/10.1190/1.2980417.

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A gas discovery in the Shengping area of the Daqing Oilfield in China was made recently in a large-scale volcanic depositional environment. Because gas in the heterogeneities of formations broken by tectonic activity and localized volcanic eruptions is not common, researchers sought a more detailed reservoir characterization before developing the field. Crosswell seismic data were used to augment existing 3D surface seismic, log, and core data. This provided data at five times the resolution of the surface seismic data to bridge the gap in resolution between surface seismic and well data. Cros

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6

Iverson, William P. "Crosswell Logging for Acoustic Impedance." Journal of Petroleum Technology 40, no. 01 (1988): 75–82. http://dx.doi.org/10.2118/15543-pa.

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7

Spies, B. R., and T. M. Habashy. "Sensitivity analysis of crosswell electromagnetics." GEOPHYSICS 60, no. 3 (1995): 834–45. http://dx.doi.org/10.1190/1.1443821.

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Sensitivity studies for low‐frequency crosswell electromagnetics (EM) show that the region contributing to the response is quasi‐ellipsoidal in shape and encompasses both source and receiver. The strongest response originates from the immediate vicinity of the source and receiver, but measurable contributions are also produced in the interwell region. Side lobes of opposite sign are present outside the interwell region. The interwell contribution increases markedly for elongated (2-D) geological features and for increasing frequency. The horizontal magnetic‐field component as a result of a ver

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8

Zhang, Yanhui, Femke C. Vossepoel, and Ibrahim Hoteit. "Efficient Assimilation of Crosswell Electromagnetic Data Using an Ensemble-Based History-Matching Framework." SPE Journal 25, no. 01 (2019): 119–38. http://dx.doi.org/10.2118/193808-pa.

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Summary An ensemble-based history-matching framework is proposed to enhance the characterization of petroleum reservoirs through the assimilation of crosswell electromagnetic (EM) data. As an advanced technology in reservoir surveillance, crosswell EM tomography can be used to estimate a cross-sectional conductivity map and associated saturation profile at an interwell scale by exploiting the sharp contrast in conductivity between hydrocarbons and saline water. Incorporating this information into reservoir simulation in combination with other available observations is expected to enhance the f

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9

Tura, M. Ali C., Robert J. Greaves, and Wafik B. Beydoun. "Crosswell seismic reflection/diffraction tomography: A reservoir characterization application." GEOPHYSICS 59, no. 3 (1994): 351–61. http://dx.doi.org/10.1190/1.1443597.

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A crosswell seismic experiment at the San Emidio oil field in Bakersfield, California, is carried out to evaluate crosswell reflection/diffraction tomography and image the interwell region to locate a possible pinchout zone. In this experiment, the two wells used are 2500 ft (762 m) apart, and the zone to be imaged is 11 000 ft (3350 m) to 13 000 ft (3960 m) deep. With the considered distances, this experiment forms the first large scale reservoir characterization application of crosswell reflection/diffraction tomography. A subset of the intended data, formed of two common receiver gathers an

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10

Harris, Jerry M., Richard C. Nolen‐Hoeksema, Robert T. Langan, Mark Van Schaack, Spyros K. Lazaratos, and James W. Rector. "High‐resolution crosswell imaging of a west Texas carbonate reservoir: Part 1—Project summary and interpretation." GEOPHYSICS 60, no. 3 (1995): 667–81. http://dx.doi.org/10.1190/1.1443806.

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A carbon dioxide flood pilot is being conducted in a section of Chevron’s McElroy field in Crane County, west Texas. Prior to [Formula: see text] injection, two high‐frequency crosswell seismic profiles were recorded to investigate the use of seismic profiling for high‐resolution reservoir delineation and [Formula: see text] monitoring. These preinjection profiles provide the baseline for time‐lapse monitoring. Profile #1 was recorded between an injector well and an offset observation well at a nominal well‐to‐well distance of 184 ft (56 m). Profile #2 was recorded between a producing well and

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11

Hoversten, G. Michael, Paul Milligan, Joongmoo Byun, John Washbourne, Larry C. Knauer, and Paul Harness. "Crosswell electromagnetic and seismic imaging: An examination of coincident surveys at a steam flood project." GEOPHYSICS 69, no. 2 (2004): 406–14. http://dx.doi.org/10.1190/1.1707060.

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We studied crosswell electromagnetic and seismic images of three oil‐saturated intervals within a southern California heavy oil field undergoing steam flood. The crosswell survey is located in a portion of the field where one well is in a “cold spot,” resulting in differing steam propagation within the three units. Log analysis shows linear or second‐order polynomial relationships (with correlation coefficients greater than 0.7) between electrical conductivity and water saturation, porosity, and clay content; whereas only a weakly linear relationship can be found between velocity and temperatu

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12

Washbourne, John K., James W. Rector, and Kenneth P. Bube. "Crosswell traveltime tomography in three dimensions." GEOPHYSICS 67, no. 3 (2002): 853–71. http://dx.doi.org/10.1190/1.1484529.

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Conventional crosswell direct‐arrival traveltime tomography solves for velocity in a 2‐D slice of the subsurface joining two wells. Many 3‐D aspects of real crosswell surveys, including well deviations and out‐of‐well‐plane structure, are ignored in 2‐D models. We present a 3‐D approach to crosswell tomography that is capable of handling severe well deviations and multiple‐profile datasets. Three‐dimensional pixelized models would be even more seriously underdetermined than the pixelized models that have been used in 2‐D tomography. We, therefore, employ a thinly layered, vertically discontinu

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13

Ellefsen, Karl J., Aldo T. Mazzella, Robert J. Horton, and Jason R. McKenna. "Phase and amplitude inversion of crosswell radar data." GEOPHYSICS 76, no. 3 (2011): J1—J12. http://dx.doi.org/10.1190/1.3554412.

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Phase and amplitude inversion of crosswell radar data estimates the logarithm of complex slowness for a 2.5D heterogeneous model. The inversion is formulated in the frequency domain using the vector Helmholtz equation. The objective function is minimized using a back-propagation method that is suitable for a 2.5D model and that accounts for the near-, intermediate-, and far-field regions of the antennas. The inversion is tested with crosswell radar data collected in a laboratory tank. The model anomalies are consistent with the known heterogeneity in the tank; the model’s relative dielectric p

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14

Blakeslee, Sam. "Twin‐VSP simulation of crosswell data." Leading Edge 13, no. 4 (1994): 252–54. http://dx.doi.org/10.1190/1.1437016.

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15

Peterson, J. E., and A. Davey. "Crossvalidation method for crosswell seismic tomography." GEOPHYSICS 56, no. 3 (1991): 385–89. http://dx.doi.org/10.1190/1.1443055.

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Crosswell seismic tomography is used to determine the variation of elastic wave velocity or attenuation between two boreholes and, if possible, boreholes and the surface from which they are drilled. In a transmission tomographic survey, traveltimes or amplitudes are measured for many raypaths between the boreholes and the surface. The data are inverted for velocity and attenuation, respectively. In this paper we only discuss traveltimes, but the methods are equally applicable to amplitude inversions.

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16

Nemeth, Tamas, Egon Normark, and Fuhao Qin. "Dynamic smoothing in crosswell traveltime tomography." GEOPHYSICS 62, no. 1 (1997): 168–76. http://dx.doi.org/10.1190/1.1444115.

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Variable‐size (dynamic) smoothing operator constraints are applied in crosswell traveltime tomography to reconstruct both the smooth‐ and fine‐scale details of the tomogram. In mixed and underdetermined problems a large number of iterations may be necessary to introduce the slowly varying slowness features into the tomogram. To speed up convergence, the dynamic smoothing operator applies adaptive regularization to the traveltime prediction error function with the help of the model covariance matrix. By so doing, the regularization term has a larger weight at initial iterations and the predicti

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17

Keers, Henk, Lane R. Johnson, and Don W. Vasco. "Acoustic crosswell imaging using asymptotic waveforms." GEOPHYSICS 65, no. 5 (2000): 1569–82. http://dx.doi.org/10.1190/1.1444845.

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Seismic waveforms are inverted using an asymptotic method. The asymptotic method models amplitudes correctly at the caustics and takes nonstationary raypaths into account when computing the waveforms, and thus is an extension of geometrical ray theory. Using numerical differencing, partial derivatives of the data with respect to the model are computed. As expected, these partial derivatives (or sensitivity functions) are concentrated along, but not confined to, raypaths. The sensitivity functions enable the formulation of a waveform inversion algorithm, which is applied to a synthetic crosswel

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18

Keers, Henk, Don W. Vasco, and Lane R. Johnson. "Viscoacoustic crosswell imaging using asymptotic waveforms." GEOPHYSICS 66, no. 3 (2001): 861–70. http://dx.doi.org/10.1190/1.1444975.

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We present a method to invert viscoacoustic waveforms. The waveform inversion is based on a new forward algorithm for waves propagating through viscoacoustic media. The algorithm represents the wavefield in terms of a summation over nonstationary raypaths. The amplitudes at the caustics are computed correctly. The inclusion of nonstationary raypaths makes it possible to compute sensitivity functions for both velocity and attenuation. The sensitivity functions lead to a linearized formulation of the waveform inversion. The inversion is applied to two 2-D data sets that previously had been match

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19

Du, Bingwen, and Larry R. Lines. "Crosswell seismic tomography without ray tracing." Exploration Geophysics 31, no. 1-2 (2000): 359–65. http://dx.doi.org/10.1071/eg00359.

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20

Majer, Ernest L., John E. Peterson, Thomas Daley, et al. "Fracture detection using crosswell and single well surveys." GEOPHYSICS 62, no. 2 (1997): 495–504. http://dx.doi.org/10.1190/1.1444160.

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We recorded high‐resolution (1 to 10 kHz), crosswell and single well seismic data in a shallow (15 to 35 m), water‐saturated, fractured limestone sequence at Conoco's borehole test facility near Newkirk, Oklahoma. Our objective was to develop seismic methodologies for imaging gas‐filled fractures in naturally fractured gas reservoirs. The crosswell (1/4 m receiver spacing, 50 to 100 m well separation) surveys used a piezoelectric source and hydrophones before, during, and after an air injection that we designed to displace water from a fracture zone. Our intent was to increase the visibility o

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21

Rusakov, Pavel, Gennady Goloshubin, Yury Tcimbaluk, and Irina Privalova. "An application of fluid mobility attribute for permeability prognosis in the crosswell space with compensation of the reservoir thickness variations." Interpretation 4, no. 2 (2016): T157—T165. http://dx.doi.org/10.1190/int-2015-0096.1.

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We have considered a permeability prognosis in the crosswell space within the Middle Jurassic [Formula: see text] Formation in the southern part of Western Siberia. The prognosis was based on core measurements, well log analysis, and seismic attribute calculations. We have estimated the formation permeability in the wells, calculated seismic attribute proportional to fluid mobility from the 3D seismic data, and eliminated the influence of the reservoir thickness variations. The correlation between appropriate seismic attribute values and [Formula: see text] formation permeability was used for

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22

Lazaratos, Spyros K., Jerry M. Harris, James W. Rector, and Mark Van Schaack. "High‐resolution crosswell imaging of a west Texas carbonate reservoir: Part 4—Reflection imaging." GEOPHYSICS 60, no. 3 (1995): 702–11. http://dx.doi.org/10.1190/1.1443809.

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Reliable crosswell reflection imaging is a challenging task, even after the data have been wavefield‐separated in the time domain. Residual, strong coherent noise is still present in the data. Stacking is complicated by the wide range of reflection incidence angles available for imaging. With wavelengths of a few feet, small misalignments as a result of velocity or geometric errors produce destructive interference and degrade the quality of the stacked image. We present an imaging sequence that addressed these complications and allowed us to produce high‐quality stacked images for both P‐ and

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23

Carrion, Philip M., Salvatore Puledda, and Paolo Comelli. "Gibbs statistics in crosswell and reflection tomography: Inversion of noisy data." GEOPHYSICS 62, no. 4 (1997): 1208–13. http://dx.doi.org/10.1190/1.1444221.

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In this paper, we examine Gibbs's potential taken as a Cauchy function. This function depends on one parameter and can be useful in inserting a priori information in terms of chosen directions in Gibbs inversion. The results presented in this paper, show the possibility of using Gibbs's statistics for obtaining tomograms of superior quality compared with conventional methods using uncorrelated Gaussian least‐squares optimization. Although Gibbs's statistics give images of higher quality when compared to conventional methods, the geophysical literature on Gibbs's algorithms is quite scanty. For

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24

Parra, Jorge O., Van Price, Carl Addington, Brian J. Zook, and Randolph J. Cumbest. "Interwell seismic imaging at the Savannah River Site, South Carolina." GEOPHYSICS 63, no. 6 (1998): 1858–65. http://dx.doi.org/10.1190/1.1444478.

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Crosswell and continuity logging seismic measurements were made beneath a large tank (27 m diameter) used for processing radioactive waste at the Department of Energy (DOE) Savannah River Site in the Atlantic Coastal Plain of South Carolina. We used the data to delineate a low‐velocity zone (soft materials) and image the connectivity of a clay unit between wells. The low‐velocity zone depicted on the crosswell seismic tomogram integrated with data from cores and well logs revealed soft materials in the region between 150 and 180 ft (46–55 m). The bottom boundary of this low‐velocity zone corre

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25

Denney, Dennis. "Interwell Property Mapping With Crosswell Seismic Attributes." Journal of Petroleum Technology 50, no. 01 (1998): 48–49. http://dx.doi.org/10.2118/0198-0048-jpt.

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26

Nalonnil, Ajay, and Bruce Marion. "High-Resolution Reservoir Monitoring Using Crosswell Seismic." SPE Reservoir Evaluation & Engineering 15, no. 01 (2012): 25–30. http://dx.doi.org/10.2118/132491-pa.

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27

Li, Chuan, JianXin Liu, Jianping Liao, and Andrew Hursthouse. "2D High-Resolution Crosswell Seismic Traveltime Tomography." Journal of Environmental and Engineering Geophysics 25, no. 1 (2020): 47–53. http://dx.doi.org/10.2113/jeeg19-003.

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This paper presents a method for combining the hybrid eikonal solver and the prior velocity information to obtain high-resolution crosswell imaging. The hybrid eikonal solver in this technique can ensure rapid and reliable forward modeling of traveltime field in an unsmoothed velocity model. We also utilize the sonic well logging curve to properly develop an initial reference velocity model, and use the sonic well logging data as the prior information for the inversion part, which can restrict the problem of non-uniqueness. The results of the numerical experiment of traveltime in multi-layer m

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28

Zhou, Hua‐Wei, Jorge A. Mendoza, Curtis A. Link, Jiri Jech, and John A. McDonald. "Crosswell imaging in a shallow unconsolidated reservoir." Leading Edge 12, no. 1 (1993): 32–36. http://dx.doi.org/10.1190/1.1436910.

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29

Nekut, Anthony G. "Crosswell electromagnetic tomography in steel‐cased wells." GEOPHYSICS 60, no. 3 (1995): 912–20. http://dx.doi.org/10.1190/1.1443826.

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The applicability of crosswell electromagnetic (EM) tomography is limited when the boreholes are steel cased. Steel casing is typically eight orders of magnitude more conductive than the formations around the borehole. Consequently, the high frequency signals which are needed to resolve the formation conductivity distribution in the interwell region cannot be radiated or received by antennas inside the casing. Introduction of small insulating gaps in the casing eliminates these problems by creating ports where signals can exit and enter the casing, making the casing an electric bipole antenna.

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30

Liner, Christopher L., Gokay Bozkurt, and V. Dale Cox. "Shooting direction and crosswell seismic data acquisition." GEOPHYSICS 61, no. 5 (1996): 1489–98. http://dx.doi.org/10.1190/1.1444074.

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Four crosswell seismic surveys were acquired in the Glenn Pool Field of northeastern Oklahoma as part of a multidisciplinary reservoir characterization project. The acquisition goal was to generate data suitable for tomographic traveltime inversion. Acquisition parameters and shooting geometry were selected by conducting a parameter test at the site. Following the parameter test, the first survey resulted in high quality data showing clear first arrivals, low ambient noise, some reflection events, and strong source‐generated tube waves. The second survey involved a different receiver well and

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31

Day‐Lewis, Frederick D., Jerry M. Harris, and Steven M. Gorelick. "Time‐lapse inversion of crosswell radar data." GEOPHYSICS 67, no. 6 (2002): 1740–52. http://dx.doi.org/10.1190/1.1527075.

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The combination of differential radar tomography with conventional tracer and/or hydraulic tests facilitates high‐resolution characterization of subsurface heterogeneity and enables the identification of preferential flow paths. In dynamic imaging, each tomogram is typically inverted independently, under the assumption that data sets are collected quickly relative to changes in the imaged property (e.g., attenuation or velocity); however, such “snapshot” tomograms may contain large errors if the imaged property changes significantly during data collection. Acquisition of less data over a short

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32

Leiceaga, Gorka Garcia, Bruce Marion, Katie Mahoney O'Sullivan, George Bunge, Jacob Thymann Nielsen, and Andrew Fryer. "Crosswell seismic applications for improved reservoir understanding." Leading Edge 34, no. 4 (2015): 422–28. http://dx.doi.org/10.1190/tle34040422.1.

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33

Zhe, Jingping, and Stewart Greenhalgh. "A new method for crosswell reflector imaging." Exploration Geophysics 29, no. 3-4 (1998): 671–74. http://dx.doi.org/10.1071/eg998671.

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34

Yu, Liming, and R. N. Edwards. "On crosswell diffusive time-domain electromagnetic tomography." Geophysical Journal International 130, no. 2 (1997): 449–59. http://dx.doi.org/10.1111/j.1365-246x.1997.tb05660.x.

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35

Rector, James W., and John K. Washbourne. "Characterization of resolution and uniqueness in crosswell direct‐arrival traveltime tomography using the Fourier projection slice theorem." GEOPHYSICS 59, no. 11 (1994): 1642–49. http://dx.doi.org/10.1190/1.1443553.

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The process of acquiring a crosswell seismic direct‐arrival traveltime data set can be approximated by a series of truncated plane‐wave projections through an interwell slowness field. Using this approximation, the resolution and uniqueness of crosswell direct‐arrival traveltime tomograms can be characterized by invoking the Fourier projection slice theorem, which states that a plane‐wave projection through an object constitutes a slice of the object’s spatial spectrum. The limited vertical aperture of a crosswell survey introduces a small amount of nonuniqueness into the reconstructed tomogra

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36

Chugunov, Nikita, Yusuf Bilgin Altundas, T. S. Ramakrishnan, and Ozgur Senel. "Global sensitivity analysis for crosswell seismic and neutron-capture measurements in CO2 storage projects." GEOPHYSICS 78, no. 3 (2013): WB77—WB87. http://dx.doi.org/10.1190/geo2012-0359.1.

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Quantification of reservoir uncertainty is an essential part of a monitoring design. A systematic approach that quantitatively links predicted uncertainties in a monitoring program to the underlying reservoir variability is, however, needed. We developed a methodology for quantifying uncertainty in crosswell seismic monitoring combined with neutron-capture logging and applied global sensitivity analysis (GSA) to compute and rank contributions of uncertain reservoir parameters to the predicted uncertainty of the measurements. The workflow is illustrated by a numerical study using a simplified m

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Lee, Doo Sung, Veronica M. Stevenson, Phil F. Johnston, and C. E. Mullen. "Time‐lapse crosswell seismic tomography to characterize flow structure in the reservoir during the thermal stimulation." GEOPHYSICS 60, no. 3 (1995): 660–66. http://dx.doi.org/10.1190/1.1443805.

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Time‐lapse crosswell seismic tomography data, recorded with an interval of six months, indicate a strong directional thermal response in a fractured eolian sandstone reservoir at a five‐spot thermal stimulation site in the South Casper Creek oil field, Wyoming. The seismic thermal response depicted on the tomogram and in conjunction with the geological data from cores and a wireline log, reveals the multichannel flow mechanism in the reservoir formation. The three factors that control steam or heat propagation are the fractures, the directional permeability existing in the rock matrix, and the

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Commer, Michael, David L. Alumbaugh, Michael Wilt, et al. "An adaptable technique for comparative image assessment: Application to crosswell electromagnetic survey design for fluid monitoring." GEOPHYSICS 86, no. 3 (2021): E239—E256. http://dx.doi.org/10.1190/geo2020-0430.1.

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Reservoir integrity stewardship accompanying carbon capture and sequestration considers fluid extraction and reinjection as a risk-mitigating method against overpressuring that could lead to caprock damage and ensuing [Formula: see text] leakage. Crosswell electromagnetics offers a technically viable monitoring method with the spatial volume coverage necessary for reservoir-encompassing pressure management. However, a certain logistic dilemma for deep gas sequestration into saline and thus electrically conductive aquifers is that crosswell magnetic-field measurements underperform in the imagin

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Wilt, M. J., D. L. Alumbaugh, H. F. Morrison, A. Becker, K. H. Lee, and M. Deszcz‐Pan. "Crosswell electromagnetic tomography: System design considerations and field results." GEOPHYSICS 60, no. 3 (1995): 871–85. http://dx.doi.org/10.1190/1.1443823.

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Electrical conductivity is an important petroleum reservoir parameter because of its sensitivity to porosity, pore fluid type, and saturation. Although induction logs are widely used to obtain the conductivity near boreholes, the poor resolution offered by surface‐based electrical and electromagnetic (EM) field systems has thus far limited obtaining this information in the region between boreholes. Low‐frequency crosswell EM offers the promise of providing subsurface conductivity information at a much higher resolution than was previously possible. Researchers at Lawrence Livermore National La

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40

Bube, Kenneth P., and Robert T. Langan. "Resolution of slowness and reflectors in crosswell tomography with transmission and reflection traveltimes." GEOPHYSICS 73, no. 5 (2008): VE321—VE335. http://dx.doi.org/10.1190/1.2969777.

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We sometimes encounter situations in seismic imaging in which knowing the position of key reflectors between wells would be very useful. In many crosswell data sets, both transmission and reflection traveltimes for selected reflectors can be picked. We investigated the possibility that transmission-plus-reflection crosswell traveltime tomography can determine the position of these reflectors with a high level of accuracy, thereby providing an independent way of verifying (and perhaps improving) the position of these reflectors obtained from crosswell reflection imaging. We studied the effect o

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41

Byun, Joongmoo, Jeongmin Yu, and Soon Jee Seol. "Crosswell monitoring using virtual sources and horizontal wells." GEOPHYSICS 75, no. 3 (2010): SA37—SA43. http://dx.doi.org/10.1190/1.3427175.

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Time-lapse crosswell seismic provides an efficient way to monitor the migration of a [Formula: see text] plume or its leakage after [Formula: see text] injection into a geologic formation. Recently, crosswell seismic has become a powerful tool for monitoring underground variations, using the concept of a virtual source, with virtual sources positioned at the receivers installed in the well and thus the positions of sources and receivers can be invariant during monitoring. However, time-lapse crosswell seismic using vertical wells and virtual sources has difficulty in describing the front of a

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42

Denney, Dennis. "Crosswell Technologies: New Solutions for Enhanced Reservoir Surveillance." Journal of Petroleum Technology 63, no. 09 (2011): 56–58. http://dx.doi.org/10.2118/0911-0056-jpt.

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43

Greenhalgh, Stewart, Bing Zhou, and Shunhua Cao. "A crosswell seismic experiment for nickel sulphide exploration." Journal of Applied Geophysics 53, no. 2-3 (2003): 77–89. http://dx.doi.org/10.1016/s0926-9851(03)00029-6.

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Alaskar, Mohammed, and Dmitry Kosynkin. "Successful crosswell field test of fluorescent carbogenic nanoparticles." Journal of Petroleum Science and Engineering 159 (November 2017): 443–50. http://dx.doi.org/10.1016/j.petrol.2017.09.048.

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Verduzco, Bruno, Bruce Marion, and Ajay Nalonnil. "Reducing Uncertainty in Seismic Interpretation using Crosswell Seismic." ASEG Extended Abstracts 2010, no. 1 (2010): 1–3. http://dx.doi.org/10.1081/22020586.2010.12042005.

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Newman, Gregory. "Crosswell electromagnetic inversion using integral and differential equations." GEOPHYSICS 60, no. 3 (1995): 899–911. http://dx.doi.org/10.1190/1.1443825.

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The crosswell electromagnetic (EM) inverse problem is solved with an integral‐equation (IE) formulation using successive Born approximations in the frequency domain. Because the inverse problem is nonlinear, the predicted fields and Green’s functions are continually updated. Updating the fields and Green’s functions relates small changes in the predicted data to small changes in the model parameters through Fréchet kernels. These fields and Green functions are calculated with an efficient 3-D finite‐difference solver. Since the resistivity is invariant along strike, the 3-D fields are integrat

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Daley, Thomas M., Ernest L. Majer, and John E. Peterson. "Crosswell seismic imaging in a contaminated basalt aquifer." GEOPHYSICS 69, no. 1 (2004): 16–24. http://dx.doi.org/10.1190/1.1649371.

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Multiple seismic crosswell surveys have been acquired and analyzed in a fractured basalt aquifer at Idaho National Engineering and Environmental Laboratory. Most of these surveys used a high‐frequency (1000–10,000 Hz) piezoelectric seismic source to obtain P‐wave velocity tomograms. The P‐wave velocities range from less than 3200 m/s to more than 5000 m/s. Additionally, a new type of borehole seismic source was deployed as part of the subsurface characterization program at this contaminated groundwater site. This source, known as an orbital vibrator, allows simultaneous acquisition of P‐ and S

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48

Du, Bingwen. "Comparison of crosswell diffraction tomography to Kirchhoff migration." Exploration Geophysics 31, no. 1-2 (2000): 366–71. http://dx.doi.org/10.1071/eg00366.

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Kim, Hee Joon, Yoonho song, Ki Ha Lee, and Michael J. Wilt. "Efficient crosswell EM Tomography using localized nonlinear approximation." Exploration Geophysics 35, no. 1 (2004): 51–55. http://dx.doi.org/10.1071/eg04051.

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Zhdanov, M. S., G. Vignoli, and T. Ueda. "Sharp boundary inversion in crosswell travel-time tomography." Journal of Geophysics and Engineering 3, no. 2 (2006): 122–34. http://dx.doi.org/10.1088/1742-2132/3/2/003.

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