Relevant bibliographies by topics / Geophysical data interpretation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geophysical data interpretation'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Geophysical data interpretation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Geophysical data interpretation"

1

İsgаndаrov, E., and A. Rzabayli. "INTERPRETATION OF GRAVITY DATA BY CORRELATION METHODS." Danish scientific journal, no. 69 (February 24, 2023): 5–10. https://doi.org/10.5281/zenodo.7688727.

Full text
Abstract:
<strong>Abstract</strong> The article is devoted to the issue of interpretation of gravimetric data by correlation methods. As you know, there can be a correlation between geological and geophysical data, or, as they say, a statistical relationship. This connection can be studied by methods of mathematical statistics. Thus, correlations are established between geophysical and geological parameters, for example, between gravity anomalies and the depth of the geological boundary of interest. Such a correlation analysis is first carried out on a reference area with known values of geophysical and geological parameters. On the basis of the analogy principle, using the correlation links established on the standard, geological characteristics are predicted by geophysical parameters within a certain (forecast) territory. Statistical methods for constructing structural maps based on gravity data are mainly used in the modification of multidimensional regression analysis (MRA) and correlation methods for transforming&nbsp; anomalies (COMT). Software for the correlation analysis of gravity data has been developed at the Department of Geophysics of the ASOIU. The article presents the mathematical foundations and results of the forecast of the structural scheme of the surface of the Upper Cretaceous deposits of the Northern Saatly area of the Middle Kura depression of Azerbaijan.
APA, Harvard, Vancouver, ISO, and other styles
2

Dugan, Brandon, Sebastian Krastel, Laurie Whitesell, et al. "Workshop Review: Joint DGG-SEG Scientific Drilling Workshop a success." Leading Edge 40, no. 11 (2021): 837–38. http://dx.doi.org/10.1190/tle40110837.1.

Full text
Abstract:
SEG and the German Geophysical Society (DGG) held their first joint workshop in early March at DGG's 2021 Annual Meeting. The workshop was part of a new cooperative aim between DGG and SEG to promote engagement between the societies, to foster growth in geophysics, and to expand the community of scientists and engineers tackling important geophysical problems. The 2021 workshop theme, “Scientific Drilling,” was chosen because scientific drilling provides access to rocks and fluids in the subsurface that are essential for ground truthing interpretations from geophysical data and geologic interpretation, for providing samples and in-situ data for detailed characterization, and for providing inputs to models. Consequently, the workshop aimed to attract interest across many subfields of geophysics.
APA, Harvard, Vancouver, ISO, and other styles
3

Lozada Aguilar, Miguel Ángel, Andrei Khrennikov, Klaudia Oleschko, and María de Jesús Correa. "Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2106 (2017): 20160398. http://dx.doi.org/10.1098/rsta.2016.0398.

Full text
Abstract:
The paper starts with a brief review of the literature about uncertainty in geological, geophysical and petrophysical data. In particular, we present the viewpoints of experts in geophysics on the application of Bayesian inference and subjective probability. Then we present arguments that the use of classical probability theory (CP) does not match completely the structure of geophysical data. We emphasize that such data are characterized by contextuality and non-Kolmogorovness (the impossibility to use the CP model), incompleteness as well as incompatibility of some geophysical measurements. These characteristics of geophysical data are similar to the characteristics of quantum physical data. Notwithstanding all this, contextuality can be seen as a major deviation of quantum theory from classical physics. In particular, the contextual probability viewpoint is the essence of the Växjö interpretation of quantum mechanics. We propose to use quantum probability (QP) for decision-making during the characterization, modelling, exploring and management of the intelligent hydrocarbon reservoir . Quantum Bayesianism (QBism), one of the recently developed information interpretations of quantum theory, can be used as the interpretational basis for such QP decision-making in geology, geophysics and petroleum projects design and management. This article is part of the themed issue ‘Second quantum revolution: foundational questions’.
APA, Harvard, Vancouver, ISO, and other styles
4

Archer, C. T. "Integrated interpretation of SPECTREM geophysical data." Exploration Geophysics 29, no. 1-2 (1998): 83–86. http://dx.doi.org/10.1071/eg998083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ruslan Malikov, Gulam Babayev, Ruslan Malikov, Gulam Babayev. "THE ROLE OF ARTIFICIAL INTELLIGENCE IN GEOSCIENCES: CONCEPTUAL REVIEW." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 43, no. 08-01 (2024): 500–512. http://dx.doi.org/10.36962/pahtei4308012024-56.

Full text
Abstract:
Geophysics is the branch of Earth science that applies the principles and methods of physics to the study of the Earth. Recent advances in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), are transforming the field by providing powerful tools for data processing, analysis, and prediction. Traditional geophysical methods are often challenged by data complexity, non-unique solutions, and human interpretation limitations. AI algorithms trained on large datasets can identify intricate patterns and relationships within the data, leading to improved accuracy and efficiency. In this review, we provide an overview of the development of AI in the geophysical field such as seismic exploration. Specific examples illustrate the application of AI in geophysical workflows, highlighting the results achieved in areas such as seismic data processing, reservoir characterization, and automated seismic interpretation. Keywords: geophysics, seismic prospecting, exploration geophysics, artificial intelligence, machine learning, deep learning
APA, Harvard, Vancouver, ISO, and other styles
6

Chauhan, Mahak Singh, Abhey Ram Bansal, and V. P. Dimri. "Scaling Laws and Fractal Geometry: Insights into Geophysical Data Interpretations." Journal Of The Geological Society Of India 101, no. 6 (2025): 983–89. https://doi.org/10.17491/jgsi/2025/174196.

Full text
Abstract:
ABSTRACT Fractals, characterised by self-similarity and scale invariance, have emerged as powerful tools for understanding complex systems in geophysics. This paper highlights the applications of fractal geometry in geophysical data interpretation. For instance, fractal analysis is used in seismology to understand the fault systems, earthquake distribution, and the scaling laws governing seismic events. In potential fields, fractals are used to find the source depth, to design the optimum grid size of the survey, to detect the source and to separate signal from noise. In this paper, we first highlight the basics of fractal theory and then show how fractals are useful in various geophysical studies by showing examples from potential fields and seismology and reservoir characterisation.
APA, Harvard, Vancouver, ISO, and other styles
7

Paembonan, Andri Yadi, Asido Saputra Sigalingging, Putu Pradnya Andika, Selvi Misnia Irawati, Edlyn Yoadan Nathania, and Muhammad Rendi Jaya. "C-RIA: RESISTIVITY DATA INTERPRETATION AND ANALYSIS IN CLOUD MODE." JGE (Jurnal Geofisika Eksplorasi) 10, no. 1 (2024): 65–77. http://dx.doi.org/10.23960/jge.v10i1.389.

Full text
Abstract:
Geophysical methods generally require one or several processes before interpretation is carried out. This process usually requires software that requires fast computer technology. The better the computer device, the faster data can be processed. We propose a new approach in processing and interpreting and integrating geophysical data, especially resistivity data, using cloud technology. This technology is generally able to increase the speed of processing and interpreting geophysical data, which really requires devices with fast capabilities. Not to mention, if there is a lot of data being processed, it will take a long time just to process the data. Therefore, by using cloud technology the work can be done efficiently because it uses computers with modern and fast technology. In this research we apply this technology to geophysical data that is most often used for shallow exploration, namely the resistivity geoelectric method. With this research, we hope that data processing and geophysical data inversion will be more efficient and effective and the data will be safer.
APA, Harvard, Vancouver, ISO, and other styles
8

Dell'Aversana, Paolo. "Listening to geophysics: Audio processing tools for geophysical data analysis and interpretation." Leading Edge 32, no. 8 (2013): 980–87. http://dx.doi.org/10.1190/tle32080980.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Li, Yaoguo, Aline Melo, Cericia Martinez, and Jiajia Sun. "Geology differentiation: A new frontier in quantitative geophysical interpretation in mineral exploration." Leading Edge 38, no. 1 (2019): 60–66. http://dx.doi.org/10.1190/tle38010060.1.

Full text
Abstract:
Geophysics aims to image subsurface geologic structure and identify different geologic units. While the former has dominated the interpretation of applied geophysical data, the latter has received much less attention. This appears to have persisted despite applications such as those in mineral exploration that inherently rely on the inference of geologic units from geophysical and geologic observations. In practice, such activities are routinely carried out in a qualitative manner. Thus, it is meaningful to examine this aspect and to develop a system of quantitative approaches to identify different geologic units. The development of geophysical inversions in the last three decades makes such interpretation tools possible. We refer to this newly emerging direction as geology differentiation and the resultant representation of geology model as a quasi-geology model. In this article, we will provide an overview of the historical background of geology differentiation and the current developments based on physical property inversions of geophysical data sets. We argue that integrating multiple physical property models to differentiate and characterize geologic units and work with the derived quasi-geology model may lead to a step change in maximizing the value of geophysical inversions.
APA, Harvard, Vancouver, ISO, and other styles
10

Lyrio, Julio Cesar S. O., Paulo T. L. Menezes, Jorlivan L. Correa, and Adriano R. Viana. "Multiphysics anomaly map: A new data fusion workflow for geophysical interpretation." Interpretation 8, no. 2 (2020): B35—B43. http://dx.doi.org/10.1190/int-2018-0178.1.

Full text
Abstract:
When collecting and processing geophysical data for exploration, the same geologic feature can generate a different response for each rock property being targeted. Typically, the units of these responses may differ by several orders of magnitude; therefore, the combination of geophysical data in integrated interpretation is not a straightforward process and cannot be performed by visual inspection only. The multiphysics anomaly map (MAM) that we have developed is a data fusion solution that consists of a spatial representation of the correlation between anomalies detected with different geophysical methods. In the MAM, we mathematically process geophysical data such as seismic attributes, gravity, magnetic, and resistivity before combining them in a single map. In each data set, anomalous regions of interest, which are problem-dependent, are selected by the interpreter. Selected anomalies are highlighted through the use of a logistic function, which is specially designed to clip large magnitudes and rescale the range of values, increasing the discrimination of anomalies. The resulting anomalies, named logistic anomalies, represent regions of large probabilities of target occurrence. This new solution highlights areas where individual interpretations of different geophysical methods correlate, increasing the confidence in the interpretation. We determine the effectiveness of our MAM with application to real data from onshore and offshore Brazil. In the onshore Recôncavo Basin, the MAM allows the interpreter to identify a channel where a drilled well found the largest sandstone thickness on the area. In a second example, from offshore Sergipe-Alagoas Basin, the MAM helps differentiate between a dry and an oil-bearing channel previously outlined in seismic data. Therefore, these outcomes indicate that the MAM is a valid interpretation tool that we believe can be applied to a wide range of geologic problems.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Geophysical data interpretation"

1

Johansson, Linnéa. "Modelling and interpretation of VTEM data from Soppero, Sweden." Thesis, Luleå tekniska universitet, Geovetenskap och miljöteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64879.

Full text
Abstract:
The geological and geophysical knowledge about the northernmost part of Sweden has recently increased due to the Barents project, which includes acquisition of modern geophysical and geological information on behalf of the Swedish Geological Survey (SGU). During August 2013, a helicopter-borne versatile time domain electromagnetic (VTEM) survey was performed by Geotech Ltd, in the Soppero area northeast of Kiruna. From the VTEM measurements, a number of TEM anomalous zones have been identified and two of them are located south and southeast of the Lannavaara village. The main conductive features in the Lannavaara area can be explained by the presence of graphitic schist, which is spatially associated with a number of sulphide and iron oxide mineralisation occurrences. In this project, Maxwell thin sheet modelling and EM Flow conductivity-depth-imaging (CDI) software have been applied to selected anomalies in the Lannavaara area, for the purpose of extracting geometrical parameters of conductive features. This information has been used in order to confirm the structural framework of the area and evaluate the utility of VTEM measurements in this geological environment. In general, Maxwell thin sheet models of anomalies with small amplitudes show a better correlation with existing drill holes than models of anomalies with large amplitudes. The use of small amplitudes managed to confirm the structural model in the central part of the investigated area, which is an anticline. However, the use of different models and their distribution across the area is limited. Compared with Maxwell, CDIs from EM Flow provided a better way of confirming the general structural model in the area, although they include artefacts due to strong lateral gradients in conductivity. The Lannavaara area has also been investigated by VLF, Slingram and magnetic measurements and based on these data, multivariate analysis in SiroSOM reveals a strong correlation between VTEM and Slingram data, while VLF data appears to have much less or more complicated correlation with the other data sets. In summary, the results from the various software raise a question about the geological complexity in parts of the Lannavaara area, which may include multiple layers of graphitic schist, possibly expressed as smooth transitions in conductivity when represented by data from electromagnetic methods.
APA, Harvard, Vancouver, ISO, and other styles
2

Gigandet, Katherine M. "Processing and Interpretation of Illinois Basin Seismic Reflection Data." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401309913.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kozlovskaya, E. (Elena). "Theory and application of joint interpretation of multimethod geophysical data." Doctoral thesis, University of Oulu, 2001. http://urn.fi/urn:isbn:9514259602.

Full text
Abstract:
Abstract This work is devoted to the theory of joint interpretation of multimethod geophysical data and its application to the solution of real geophysical inverse problems. The targets of such joint interpretation can be geological bodies with an established dependence between various physical properties that cause anomalies in several geophysical fields (geophysical multiresponse). The establishing of the relationship connecting the various physical properties is therefore a necessary first step in any joint interpretation procedure. Bodies for which the established relationship between physical properties is violated (single-response bodies) can be targets of separate interpretations. The probabilistic (Bayesian) approach provides the necessary formalism for addressing the problem of the joint inversion of multimethod geophysical data, which can be non-linear and have a non-unique solution. Analysis of the lower limit of resolution of the non-linear problem of joint inversion using the definition of e-entropy demonstrates that joint inversion of multimethod geophysical data can reduce non-uniqueness in real geophysical inverse problems. The question can be formulated as a multiobjective optimisation problem (MOP), enabling the numerical methods of this theory to be employed for the purpose of geophysical data inversion and for developing computer algorithms capable of solving highly non-linear problems. An example of such a problem is magnetotelluric impedance tensor inversion with the aim of obtaining a 3-D resistivity distribution. An additional area of application for multiobjective optimisation can be the combination of various types of uncertain information (probabilistic and non-probabilistic) in a common inversion scheme applicable to geophysical inverse problems. It is demonstrated how the relationship between seismic velocity and density can be used to construct an algorithm for the joint interpretation of gravity and seismic wide-angle reflection and refraction data. The relationship between the elastic and electrical properties of rocks, which is a necessary condition for the joint inversion of data obtained by seismic and electromagnetic methods, can be established for solid- liquid rock mixtures using theoretical modelling of the elastic and electrical properties of rocks with a fractal microstructure and from analyses of petrophysical data and borehole log data.
APA, Harvard, Vancouver, ISO, and other styles
4

Tsourlos, Panagiotis. "Modelling, interpretation and inversion of multielectrode resistivity survey data." Thesis, University of York, 1995. http://etheses.whiterose.ac.uk/14017/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ström, Tobias. "A geophysical study of the Mertainen area : Modelling and interpretation of primarily aeromagnetic data." Thesis, Luleå tekniska universitet, Geovetenskap och miljöteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-63850.

Full text
Abstract:
Nautanen Deformation Zone, is a prominent deformation zone in the Malmfälten area, which is of importance to understand for mineral exploration purposes. In spite of diverse geophysical data being available in Malmfälten and the good correlation between airborne measurements and geological observations, the area has not been fully investigated in detail using the aforementioned available data. A geological feature in connection with the Mertainen magnetite-breccia apatite iron ore deposit has been studied. Methods include the study of geological maps, the study of analytic signals of magnetic and gravity data, data processing, potential field- and 3D modelling and the interpretation of aforementioned models. Based on the observed and modelled data a fold structure has been detected in connection with Mertainen, and several mineralizations are believed to be structurally related to this fold. Furthermore, a potential mineralization structurally related with the fold has been detected, though it is quite likely that it isn't economically viable.<br>Nautanen Deformation Zone, är en framträdande deformationszon i Malmfälten området, vilken är av betydelse att förstå för mineral prospekterings ändåmål. Trotts att det finns ett stort utbud av geofysiska data i Malmfälten och att det finns en god korrelation mellan de flyggeofysiska mätningarna och geologiska observationer, så har området inte undersökts fullständigt med den tillgängliga datan. En geologisk struktur i koppling till apatit järn malms fyndigheten Mertainen has studerats. Bland metoder ingår studie av geologiska kartor, studie av de analytiska signlar hos magnetiska och gravimetriska data, data processering, potential fält- och 3D modellering samt tolkningen av ovannämnda modeller. Baserat på den observerade samt modellerade datan har en veck strucktur upptäckts i koppling till Mertainen, och flertalet mineraliseringar tros vara strukturellt relaterade till detta veck. Dessutom har en potentiell mineralisering strukturellt relaterad till vecket upptäckts, dock är det väldigt troligt att den inte är ekonomiskt brytbar.
APA, Harvard, Vancouver, ISO, and other styles
6

Broome, H. John Carleton University Dissertation Geology. "Processing and interpretation of regional geophysical data from the Amer Lake/Wager Bay area, district of Keewatin." Ottawa, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sheffer, Megan Rae. "Forward modelling and inversion of streaming potential for the interpretation of hydraulic conditions from self-potential data." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/235.

Full text
Abstract:
The self-potential method responds to the electrokinetic phenomenon of streaming potential and has been applied in hydrogeologic and engineering investigations to aid in the evaluation of subsurface hydraulic conditions. Of specific interest is the application of the method to embankment dam seepage monitoring and detection. This demands a quantitative interpretation of seepage conditions from the geophysical data. To enable the study of variably saturated flow problems of complicated geometry, a three-dimensional finite volume algorithm is developed to evaluate the self-potential distribution resulting from subsurface fluid flow. The algorithm explicitly calculates the distribution of streaming current sources and solves for the self-potential given a model of hydraulic head and prescribed distributions of the streaming current cross-coupling conductivity and electrical resistivity. A new laboratory apparatus is developed to measure the streaming potential coupling coefficient and resistivity in unconsolidated soil samples. Measuring both of these parameters on the same sample under the same conditions enables us to properly characterize the streaming current cross-coupling conductivity coefficient. I present the results of a laboratory investigation to study the influence of soil and fluid parameters on the cross-coupling coefficient, and characterize this property for representative well-graded embankment soils. The streaming potential signals associated with preferential seepage through the core of a synthetic embankment dam model are studied using the forward modelling algorithm and measured electrical properties to assess the sensitivity of the self-potential method in detecting internal erosion. Maximum self-potential anomalies are shown to be linked to large localized hydraulic gradients that develop in response to piping, prior to any detectable increase in seepage flow through the dam. A linear inversion algorithm is developed to evaluate the three-dimensional distribution of hydraulic head from self-potential data, given a known distribution of the cross-coupling coefficient and electrical resistivity. The inverse problem is solved by minimizing an objective function, which consists of a data misfit that accounts for measurement error and a model objective function that incorporates a priori information. The algorithm is suitable for saturated flow problems or where the position of the phreatic surface is known.
APA, Harvard, Vancouver, ISO, and other styles
8

Jungmann, Matthias Verfasser], Christoph [Akademischer Betreuer] [Clauser, Thomas Akademischer Betreuer] Berlage, and Benjamin [Akademischer Betreuer] [Berkels. "Interpretation of Geophysical Data with Higher-Level Image Processing Methods / Matthias Jungmann ; Christoph Clauser, Thomas Berlage, Benjamin Berkels." Aachen : Universitätsbibliothek der RWTH Aachen, 2018. http://d-nb.info/1162503335/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Jungmann, Matthias [Verfasser], Christoph [Akademischer Betreuer] Clauser, Thomas Akademischer Betreuer] Berlage, and Benjamin [Akademischer Betreuer] [Berkels. "Interpretation of Geophysical Data with Higher-Level Image Processing Methods / Matthias Jungmann ; Christoph Clauser, Thomas Berlage, Benjamin Berkels." Aachen : Universitätsbibliothek der RWTH Aachen, 2018. http://d-nb.info/1162503335/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Tadesse, Ketsela. "Integrated geophysical data processing and interpretation of crustal structure in Ethiopia with emphasis on the Ogaden basin and adjacent areas." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Geophysical data interpretation"

1

Hanssen, Ramon F. Radar interferometry: Data interpretation and error analysis. Kluwer Academic, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Giese, P., D. Roeder, and R. Nicolich, eds. Joint Interpretation of Geophysical and Geological Data Applied to Lithospheric Studies. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3590-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

P, Giese, Roeder Dietrich Hans, Nicolich R, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Joint interpretation of geophysical and geological data applied to lithospheric studies. Kluwer Academic Publishers, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

International Seminar on Model Optimization in Exploration Geophysics (9th 1991 Berlin, Germany). Geophysical data interpretation by inverse modeling: Proceedings of the ninth International Seminar on Model Optimization in Exploration Geophysics, Berlin, 1991. Vieweg, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

S, Grauch V. J., and Geological Survey (U.S.), eds. Materials provided at the workshop "Geophysical Map Interpretation on the PC", convened April 21-22, 1993: Text (paper copy). U.S. Dept. of the Interior, U.S. Geological Survey, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Church, Peter E. Distribution of salinity in ground water from the interpretation of borehole-geophysical logs and salinity data, Calf Pasture Point, Davisville, Rhode Island. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sloto, Ronald A. Interpretation of borehole geophysical logs, aquifer-isolation tests, and water-quality data for sites 1, 3, and 5 at Willow Grove Naval Air Station/Joint Reserve Base, Horsham Township, Montgomery County, Pennsylvania. U.S. Dept. of the Interior, U.S. Geological Survey, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wheeler, Russell L. Segmentation of the Wasatch fault zone, Utah--summaries, analyses, and interpretations of geological and geophysical data. U.S. G.P.O., 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hanssen, Ramon F. Radar Interferometry: Data Interpretation and Error Analysis. Springer, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hanssen, Ramon F. Radar Interferometry: Data Interpretation and Error Analysis. Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Geophysical data interpretation"

1

Leucci, Giovanni. "NDT Geophysical Data Interpretation." In Nondestructive Testing for Archaeology and Cultural Heritage. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01899-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Leucci, Giovanni. "Forensic Geophysical Data Processing and Interpretation." In Advances in Geophysical Methods Applied to Forensic Investigations. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46242-0_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Trofimov, Vladimir L., Fanil’ F. Khaziev, and Alisa V. Trofimova. "Wells Data Geophysical Research Interpretation Features." In Theory and Practice of High Resolution Seismic HRS-Geo Technology Application. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41590-6_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Roberto, V., A. Peron, and P. L. Fumis. "Image Understanding Techniques in Geophysical Data Interpretation." In Issues on Machine Vision. Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2830-5_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bousquet, Jean Claude, and Gianni Lanzafame. "The tectonics and geodynamics of Mt. Etna: Synthesis and interpretation of geological and geophysical data." In Geophysical Monograph Series. American Geophysical Union, 2004. http://dx.doi.org/10.1029/143gm03.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Knieß, Rudolf, Achim Lichtenberger, Dana Pilz, and Rubina Raja. "9. Geophysical Data and Archaeological Evidence: A Comparative Interpretation." In Environmental Studies, Remote Sensing, and Modelling. Brepols Publishers, 2020. http://dx.doi.org/10.1484/m.jp-eb.5.121020.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bürki, B. "Geophysical Interpretation of Astrogravimetric Data in the Ivrea Zone." In Exposed Cross-Sections of the Continental Crust. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0675-4_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jones, Richard. "Geophysical Survey in the Archaeology of Scotland: Recent Developments and Results." In One World Archaeology. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-57900-4_16.

Full text
Abstract:
AbstractThis paper reviews the current state of geophysics in Scottish archaeology, considering the scope of the surveys, the range of targets investigated and techniques deployed, as well as the practitioners and commissioners of surveys. Several issues of methodology and interpretation are illustrated through case studies taken from mainland Scotland, Orkney and the Isle of Lewis. One of these focuses on the relative frequency of poor magnetic and earth resistance responses recorded over ditch and pit features due to drift geology and soil conditions, and the efforts to explain those responses in terms of soil properties. This leads to the recommendation that archaeo-geophysics can only benefit from aligning itself on a regular basis with geoarchaeology since their respective subject areas often converge more than is usually recognised. Another recommendation is the need for fuller dissemination of the graphical output of surveys as well as access to raw data to encourage a more critical view of how interpretations of individual geophysical anomalies are made.
APA, Harvard, Vancouver, ISO, and other styles
9

Winkler, Edmund, Wolfgang Seiberl, and Andreas Ahl. "Interpretation of Airborne Electromagnetic Data with Neural Networks." In Geophysical Applications of Artificial Neural Networks and Fuzzy Logic. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0271-3_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Des Vallieres, T., T. L. Armstrong, and R. Girault. "Improvement of Geophysical Interpretation by Use of DELPH1 Processed Data." In Advances in Underwater Technology, Ocean Science and Offshore Engineering. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2473-9_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Geophysical data interpretation"

1

E. Szymanshi, J., and J. Alderson. "Interpretation of irregularly spaces geophysical data sets." In 55th EAEG Meeting. European Association of Geoscientists & Engineers, 1993. http://dx.doi.org/10.3997/2214-4609.201411574.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

A. Monteiro Santos, Fernando, and Luís A. Mendes-Victor. "1-D Interpretation of Anisotropic MT Data." In 5th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609-pdb.299.245.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Santiago Grossmann, Guisela, Alberto Figueiredo Jr., and Jurandyr Schmidt. "Parasound Data Interpretation On Amazon Submarine Delta." In 7th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 2001. http://dx.doi.org/10.3997/2214-4609-pdb.217.373d.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rowley, T. H., Paul R. Donaldson, James L. Osiensky, and J. Carlton Parker. "Dual Geophysical Data Set Interpretation For Landfill Plume Delineation." In 8th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 1995. http://dx.doi.org/10.3997/2214-4609-pdb.206.1995_004.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rowley, T. H., Paul R. Donaldson, James L. Osiensky, and J. Carlton Parker. "Dual Geophysical Data Set Interpretation for Landfill Plume Delineation." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 1995. Environment and Engineering Geophysical Society, 1995. http://dx.doi.org/10.4133/1.2922157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hellman, Kristofer, Thomas Günther, and Torleif Dahlin. "AUTOMATED CO-INTERPRETATION OF GEOPHYSICAL DATA FOR SITE INVESTIGATIONS." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013. Environment and Engineering Geophysical Society, 2013. http://dx.doi.org/10.4133/sageep2013-183.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chernov, A. A., and V. A. Boldyreva. "Technique of Complex Geophysical Data Interpretation for Reefs Mapping." In Saint Petersburg 2010. EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20145509.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Shimelevich, M. I., Е. А. Obornev, I. E. Obornev, and E. A. Rodionov. "Machine Learning Methods for Interpretation of Multidimensional Geophysical Data." In Geomodel 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201950099.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Cheng, Li zhen, Bahman Abbassi, and Pierre Boszczuk. "Three-dimensional interpretation of geophysical data and geological implications." In International Workshop and Gravity, Electrical & Magnetic Methods and their Applications, Chenghu, China, 19-22 April 2015. Society of Exploration Geophysicists and and Chinese Geophysical Society, 2015. http://dx.doi.org/10.1190/gem2015-053.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Takahashi, T. "Rock Physical Interpretation of Geophysical Data for Soil Profiling." In 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010. European Association of Geoscientists & Engineers, 2010. http://dx.doi.org/10.3997/2214-4609.201401027.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Geophysical data interpretation"

1

Dietiker, B., A. J.-M. Pugin, H. Crow, K. Brewer, and H. A. J. Russell. Geophysical data interpretation for the York University ATES site investigation, Ontario. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332366.

Full text
Abstract:
Aquifer Thermal Energy Storage (ATES) systems have the potential of reducing heating and cooling energy consumption at institutional and commercial scales. ATES systems are popular in Europe, particularly in areas of extensive glacial and post glacial unconsolidated sediment. Southern Ontario shares numerous similarities with such settings. To support an ATES study at York University, Toronto, Ontario, three geophysical datasets were collected i) Microtremor analysis (the horizontal-to-vertical spectral ratio technique, HVSR), ii) seismic reflection, and iii) borehole geophysics. The three techniques provide different scales and resolution of subsurface investigation and form a complementary suite of tools. In areas with thick sediment cover, depth to bedrock estimations often suffer from sparse data. The HVSR technique is a low cost, nonintrusive, rapid approach to estimating depth to bedrock. ATES systems commonly require enhanced information on the succession of surficial geological units, and aquifer geometry and heterogeneity. Seismic reflection data collection can provide insights into all these characteristics and consequently provide greatly enhanced target information for follow-up drilling. The confidence in seismic interpretation can be improved through collection of subsurface information from drilling, either through the combination of drill core logging (sedimentology), core testing, and downhole geophysics. Multiple downhole geophysical data were collected to support i) lithological characterisation (gamma, conductivity, magnetic susceptibility), ii) seismic velocity analysis (p and s-wave), and iii) hydrogeological characteristics (temperature, and porosity using nuclear magnetic resonance). Collectively, the geophysical data can be framed in a basin analysis methodology. This study shows that these surveys can reduce uncertainty - and potentially the cost - of mitigating a poorly understood geological context that could compromise the full potential of an ATES development.
APA, Harvard, Vancouver, ISO, and other styles
2

Charbonneau, B. W., and M. I. Legault. Interpretation of airborne geophysical data for the Thor Lake area, Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194033.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Charbonneau, B. W., and M. I. Legault. Interpretation of Airborne Geophysical Data For the Lupin and Thor Lake Areas, NWT. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/133331.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Broome, J. Interpretation of regional geophysical data from the Amer Lake Wager Bay area, District of Keewatin. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128095.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mills, Stephanie E., William Schermerhorn, Donald Hinks, and Geoffrey Phelps. Airborne Geophysical Survey of the Oquirrh Mountains, Utah. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/ds-1.

Full text
Abstract:
In 1994, Kennecott Utah Copper Corporation (now Rio Tinto Kennecott Corporation) commissioned DIGHEM Inc. to collect an airborne geophysical survey over the entirety of the Oquirrh Mountains. The Oquirrh Mountains airborne geophysical survey contains electromagnetic (EM), aeromagnetic, aeroradiometric, and very low frequency (VLF) data over the most significant mineral-producing area in Utah and remains the most complete geophysical dataset over the mountain range to date. The survey represents a dataset that would be unfeasible to collect under modern airspace considerations. The data in this report was contributed through a joint agreement by Rio Tinto Kennecott Corporation and Rio Tinto Exploration with the Utah Geological Survey to ensure this valuable dataset can be used for continuing geologic interpretation of the Oquirrh Mountains for topics that are important for mineral exploration, such as mineral deposit formation, structural evolution, and magmatic emplacement.
APA, Harvard, Vancouver, ISO, and other styles
6

Hayward, N., and J. J. Ryan. Geophysical characteristics of the northern Cordillera. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/326069.

Full text
Abstract:
Geophysical data acquired under the Geological Survey of Canada's GEM Cordillera project provide a foundation to a broad range of geological investigations in the northern Canadian Cordillera. For areas of specific geological interest, over 230 000 km of high-resolution aeromagnetic data form a mosaic of comprehensive coverage over a total area of more than 82 000 km2. The data provide a powerful and valuable legacy data set for current and future activities by the Geological Survey of Canada and academic and industry partners and clients. Foremost, geophysical data interpretation complements surface geological mapping, especially in inaccessible terrain where bedrock exposure is commonly poor, enabling clearer definition of a region's geology and structure. Beyond applications to bedrock geological mapping, geophysical modelling, integrated with geological results, affords an improved understanding of the deeper crustal structure, leading to new models of the region's tectonic development and mineral deposit context.
APA, Harvard, Vancouver, ISO, and other styles
7

Krastel, Sebastian. Geophysical Student Field Trip Baltic Sea, Cruise No. AL600, 20.08.2023 – 27.08.2023, Kiel (Germany) – Kiel (Germany), GÜ Uni Kiel. GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2023. http://dx.doi.org/10.3289/cr_al600.

Full text
Abstract:
ALKOR cruise AL600 served as a marine geophysical field course for ‘Physics of the Earth System’ bachelor students at Kiel University. Beside taking an active role in planning and realization of the individual geophysical measurements, the students also performed some first processing and interpretation of the obtained data. This work had to be documented in form of a scientific presentation as well as writing of the respective chapter in this cruise report. For the following chapters, we (Sebastian Krastel, Jens Schneider von Deimling) decided to only slightly modify the text and figures provided by the students. This should emphasize the student’s achievements, and underline the overarching aim of the cruise to train the students in acquisition, processing, and documentation of marine geophysical data.
APA, Harvard, Vancouver, ISO, and other styles
8

Krastel, Sebastian, and Christian Berndt. Geophysical Student Field Trip Baltic Sea Cruise No. AL579, 20.08.2022 – 28.08.2022, Kiel (Germany) – Kiel (Germany), GÜ Uni Kiel , Alkor-Berichte AL579. GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2022. http://dx.doi.org/10.3289/cr_al579.

Full text
Abstract:
Research cruise AL579 is part of the bachelor course "Physics of the Earth System - Geophysics, Meteorology and Oceanography" at the University of Kiel. It is the field exercise for marine geophysics and hydroacoustics. The aim of the annually recurring cruise is to give students a practical insight into the acquisition, processing, documentation, and interpretation of marine geophysical data. AL579 took place from August 20th -28th 2022 with the main study areas in Eckernförde Bay and the Bay of Mecklenburg. Parts of the scientific crew changed during a stopover in Kiel on Wednesday, 24.8.2022. In Eckernförde Bay we mainly collected Multibeam Echosounder (MBES) and INNOMAR Subbottom Echosounder (SES) data calibrated by CTD measurements close to the pockmark field off Mittelgrund. On Wednesday, 24.8.2022 we tested a new Ocean Bottom Seismometer (OBS) prototype. In the Bay of Mecklenburg, the focus was on Blinkerhügel and the seafloor structures further west where an enigmatic stone structure was discovered in 2021. This area was surveyed with Sidescan Sonar, MBES, SES, and CTD measurements and several video transects with an underwater drone. We also collected two sets of multi-channel seismic data to investigate the deeper structures of the Western Baltic Sea and the Bay of Mecklenburg.
APA, Harvard, Vancouver, ISO, and other styles
9

Field, Mike, J. C. Moore, and Dan Orange. Understanding the Formation of Strata: Nesting Geophysical Data Sets for Interpretation of Key Stratigraphic Horizons in Shelf and Slope Deposits. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625847.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Spiess, Volkhard, and Tilmann Schwenk. University Bremen Student Training Cruises: Advanced Marine Geophysical Survey Project, Seegeophysikalische Geländeübung Marine Geophysical Field Exercise, Cruise No. AL581/Leg1+2+3, 12.09.2022 – 26.09.2022, Kiel (Germany) – Kiel (Germany), GeophysPracUniBremen. University Bremen, 2025. https://doi.org/10.3289/cr_al581.

Full text
Abstract:
The Advanced Marine Geophysical Survey Cruise AL581 took an international group of 10 scientists from the University of Bremen, including six Msc Marine Geosciences students, in September 2022 on the RV ALKOR to the German Baltic Sea, between Kiel and the eastern side of Rügen Using a variety of geophysical methods, the seafloor was imaged for training purposes in order to analyze geological structures and features, but also to detect anthropogenic influences, like submarine cables, pipelines, construction sites, traces of fishing and possible ammunition remnants from past wars. Students were involved in planning, data acquisition, data processing and interpretation in the 24-hour shift work. Using Multichannel Seismic (MCS), Sediment Echosounder (SES), Multibearn Echo-sounder (MBES), Side Scan Sonar and Magnetometer, the cruise provided students with the opportunity to develop a deep understanding of the application of the various methods through hands-on experience. (Alkor-Berichte AL581)
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Geophysical data interpretation' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography