FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3089322483> ?p ?o ?g. }

• W3089322483 abstract "Just beneath our feet lies the near surface of the earth. An environment that supports our built infrastructure, yields much of our water, energy, and mineral resources, supports agriculture, contains buried antiques, and serves as the repository for most of our municipal and industrial wastes. A large number of applications require the ability to characterize the near surface, to determine its physical, chemical, and biological properties, and to detect, monitor, and predict natural and induced processes of interest. Geophysical methods are able to deliver us the physical information in a non-invasive manner. One of those methods is small loop frequency domain electromagnetics, a technique, which is able to record two electromagnetic properties simultaneously: the electrical conductivity and magnetic susceptibility.The development of small loop instrumentation and associated applications is rising, which continues to increase the number of end-users, who possess a varying background knowledge in geophysics and electromagnetic theory. In spite of recent advances in electronics and instrumentation, large pitfalls remain present during data collection and processing of frequency domain electromagnetic data, which might go unnoticed by both in- and experienced users. In this thesis, an effort was made to facilitate the robust use of small loop frequency domain electromagnetics by tackling the individual aspects that relate to some of these pitfalls, namely: efficient survey design, accurate electromagnetic signal stabilization, response modelling and physical property quantification. Tackling these allows improving the efficiency and reliability of high resolution frequency domain electromagnetic prospection, while providing a solid framework for data collection and processing. Alongside facilitating the automation of existing and newly developed processing steps, strong emphasis was put on improving the accessibility of processing and modelling approaches for non-expert users.First, a new survey pattern was designed that allows time efficient data collection by incorporating prior knowledge about the subsurface. The survey design compromises randomly repeated survey lines to form a basis for robust data processing that can remediate issues induced by both bidirectional survey heading and time lag. As a result, ready interpretable electromagnetic data is obtained at high resolution in a time efficient manner. Following, a new approach for signal stabilization, based on machine learning techniques and static height measurements is presented. The method accounts for temporal changes in the electromagnetic signal offset without the need for tedious auxiliary data collection nor subjective assumptions considering forward modelling or inversion routine. Such a method is the first step in obtaining accurately calibrated electromagnetic signals that allow absolutexviiiquantification of the subsurface in a more efficient manner. Next, a one-dimensional forward modelling approach was presented that estimates the theoretical responses above a multilayered halfspace. An open toolkit was presented alongside, connecting the practical implementation of the forward model to its theoretical basis. This model was later on used to quantify the measured electromagnetic responses into comprehensible physical properties: the apparent electrical conductivity and apparent magnetic susceptibility and add uncertainty to the estimations." @default.
• W3089322483 created "2020-10-01" @default.
• W3089322483 creator A5047002473 @default.
• W3089322483 date "2020-01-01" @default.
• W3089322483 modified "2023-10-16" @default.
• W3089322483 title "Robust collection and processing of small loop frequency domain electromagnetic data" @default.
• W3089322483 hasPublicationYear "2020" @default.
• W3089322483 type Work @default.
• W3089322483 sameAs 3089322483 @default.
• W3089322483 citedByCount "0" @default.
• W3089322483 crossrefType "dissertation" @default.
• W3089322483 hasAuthorship W3089322483A5047002473 @default.
• W3089322483 hasConcept C104267543 @default.
• W3089322483 hasConcept C105795698 @default.
• W3089322483 hasConcept C111919701 @default.
• W3089322483 hasConcept C118530786 @default.
• W3089322483 hasConcept C119599485 @default.
• W3089322483 hasConcept C121332964 @default.
• W3089322483 hasConcept C127413603 @default.
• W3089322483 hasConcept C133462117 @default.
• W3089322483 hasConcept C138827492 @default.
• W3089322483 hasConcept C19118579 @default.
• W3089322483 hasConcept C205649164 @default.
• W3089322483 hasConcept C24326235 @default.
• W3089322483 hasConcept C2909720056 @default.
• W3089322483 hasConcept C31972630 @default.
• W3089322483 hasConcept C33923547 @default.
• W3089322483 hasConcept C41008148 @default.
• W3089322483 hasConcept C62649853 @default.
• W3089322483 hasConcept C8058405 @default.
• W3089322483 hasConcept C84462506 @default.
• W3089322483 hasConceptScore W3089322483C104267543 @default.
• W3089322483 hasConceptScore W3089322483C105795698 @default.
• W3089322483 hasConceptScore W3089322483C111919701 @default.
• W3089322483 hasConceptScore W3089322483C118530786 @default.
• W3089322483 hasConceptScore W3089322483C119599485 @default.
• W3089322483 hasConceptScore W3089322483C121332964 @default.
• W3089322483 hasConceptScore W3089322483C127413603 @default.
• W3089322483 hasConceptScore W3089322483C133462117 @default.
• W3089322483 hasConceptScore W3089322483C138827492 @default.
• W3089322483 hasConceptScore W3089322483C19118579 @default.
• W3089322483 hasConceptScore W3089322483C205649164 @default.
• W3089322483 hasConceptScore W3089322483C24326235 @default.
• W3089322483 hasConceptScore W3089322483C2909720056 @default.
• W3089322483 hasConceptScore W3089322483C31972630 @default.
• W3089322483 hasConceptScore W3089322483C33923547 @default.
• W3089322483 hasConceptScore W3089322483C41008148 @default.
• W3089322483 hasConceptScore W3089322483C62649853 @default.
• W3089322483 hasConceptScore W3089322483C8058405 @default.
• W3089322483 hasConceptScore W3089322483C84462506 @default.
• W3089322483 hasLocation W30893224831 @default.
• W3089322483 hasOpenAccess W3089322483 @default.
• W3089322483 hasPrimaryLocation W30893224831 @default.
• W3089322483 hasRelatedWork W1044642052 @default.
• W3089322483 hasRelatedWork W1258197065 @default.
• W3089322483 hasRelatedWork W1503576000 @default.
• W3089322483 hasRelatedWork W1534388058 @default.
• W3089322483 hasRelatedWork W1596503704 @default.
• W3089322483 hasRelatedWork W1983710014 @default.
• W3089322483 hasRelatedWork W2044586506 @default.
• W3089322483 hasRelatedWork W2049126577 @default.
• W3089322483 hasRelatedWork W2187151484 @default.
• W3089322483 hasRelatedWork W2283995088 @default.
• W3089322483 hasRelatedWork W2348101214 @default.
• W3089322483 hasRelatedWork W2762528551 @default.
• W3089322483 hasRelatedWork W2769566343 @default.
• W3089322483 hasRelatedWork W2890582408 @default.
• W3089322483 hasRelatedWork W2899663563 @default.
• W3089322483 hasRelatedWork W3021263479 @default.
• W3089322483 hasRelatedWork W3147306460 @default.
• W3089322483 hasRelatedWork W9092611 @default.
• W3089322483 hasRelatedWork W996445090 @default.
• W3089322483 hasRelatedWork W2551560694 @default.
• W3089322483 isParatext "false" @default.
• W3089322483 isRetracted "false" @default.
• W3089322483 magId "3089322483" @default.
• W3089322483 workType "dissertation" @default.