Show simple item record

dc.contributor.advisorRevil, André, 1970-
dc.contributor.authorHaas, Allan K.
dc.date.accessioned2007-01-03T05:38:44Z
dc.date.accessioned2022-02-09T08:50:41Z
dc.date.available2007-01-03T05:38:44Z
dc.date.available2022-02-09T08:50:41Z
dc.date.issued2013
dc.identifierT 7342
dc.identifier.urihttps://hdl.handle.net/11124/79883
dc.description2013 Fall.
dc.descriptionIncludes illustrations (some color), maps.
dc.descriptionIncludes bibliographical references.
dc.description.abstractThis dissertation presents a new methodology for monitoring, detecting, and localizing shallow, aquifer zone leaks in oil and gas wells. The rationale for this type of leak detection is to close the knowledge gap associated with public claims of subsurface water resource contamination caused by the oil and gas industry. A knowledge gap exists because there is no data, one way or the other, that can definitively prove or deny the existence of subsurface leakage pathways in oil and gas wells, new, old or abandoned. This dissertation begins with an overview of existing and future oil and gas well leak detection methods, and then presents three published papers, each describing a different phenomena that can be exploited for leak monitoring, detection, localization, and damage extent determination. The first paper describes the direct detection and localization of a leak that was discovered during a laboratory based hydraulic fracturing experiment. The second paper describes the laboratory measured electrical response that occurs during two phase flow inside of porous media. The third paper describes the detection and tracking of a gravity driven salt plume leak in a freshwater test tank in the laboratory. The three geophysical approaches that are presented, when combined together, provide a new, powerful, external to the well method to monitor, detect, localize, and assess the damage from leaks in the drinking water protection zone of oil and gas wells. This is a capability that is not available in any other leak detection and localization method. This dissertation also presents a chapter of Science, Technology and Society (STS), and Science, and Technology Policy (STP) as a final fulfillment requirement of the SmartGeo Fellowship program, and the Science, Technology, Engineering, and Policy minor. This chapter introduces a new STS/STP concept concerning the after effects of knowledge boundary disputes. This new concept is called the residual footprints of knowledge boundary disputes. This new concept is developed through the analysis of an oil and gas drilling controversy that climaxed in Erie, CO in 2012. Additional evidence of this residual footprint concept is also presented in a very brief form. It is hoped that this new concept will be further researched, and adopted by the STS/STP community.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2010-2019 - Mines Theses & Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectscience and technology policy
dc.subjectinversion
dc.subjectwell leak monitoring
dc.subjectwell leak detection
dc.subjectself potential tomography
dc.subjectself potential
dc.subject.lcshPetroleum industry and trade -- Environmental aspects
dc.subject.lcshGroundwater -- Pollution
dc.subject.lcshInversion (Geophysics)
dc.subject.lcshHydraulic fracturing
dc.subject.lcshElectromagnetism
dc.subject.lcshCommunication in science
dc.titleExternal detection and localization of well leaks in aquifer zones
dc.typeText
dc.contributor.committeememberSnieder, Roel, 1958-
dc.contributor.committeememberBatzle, Michael L.
dc.contributor.committeememberMooney, Michael A.
dc.contributor.committeememberSchneider, Jennifer J.
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.degree.levelDoctoral
thesis.degree.disciplineGeophysics
thesis.degree.grantorColorado School of Mines


Files in this item

Thumbnail
Name:
Haas_mines_0052E_10291.pdf
Size:
7.475Mb
Format:
PDF
Description:
External detection and localization ...

This item appears in the following Collection(s)

Show simple item record