High‐resolution density from borehole gravity data

MacQueen, Jeffrey D.

doi:10.1190/1.2792520

Cited by 29 publications

(2 citation statements)

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“…Improved instrument sensitivity (1 Gal) and precise depth positioning can improve that by about 0.01 g/cm 3 (Alixant, 1995). A method for calculating densities using an inversion technique has been described (MacQueen and Micro-g LaCoste, 2007). Using this method, useful densities can be recovered at station spacings as small as 3 ft.…”

Section: Operational Planningmentioning

confidence: 98%

Evaluating time-lapse borehole gravity for CO2 plume detection at SECARB Cranfield

Dodds¹,

Krahenbuhl

Reitz

et al. 2013

International Journal of Greenhouse Gas Control

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a b s t r a c tMonitoring of CO 2 storage processes provides a renewed challenge of adapting oil and gas monitoring technology to provide measurements required of operator, regulatory authorities and the public. These requirements include providing measurements that will support an understanding of safe containment of the CO 2 plume, and inform evidence that injected CO 2 remains in the storage complex for the purposes of green house gas accounting, cost effectively. These roles for monitoring demand a re-evaluation of deep reading measurements besides seismic, such as gravitational and electromagnetic technologies, sensitive to density and electrical properties of the fluids. In particular this paper explores the operational and interpretational challenges of borehole microgravity in a CO 2 timelapse survey in two wells at the SECARB Cranfield injection site.The Southeast Partnership (SECARB) test at Cranfield, Mississippi, was the first of the commercial scale projects comprising a staged array of field deployments testing key issues of capacity and best methods for assuring storage permanence. More than 3 million metric tons of injected CO 2 will have been injected since the start of injection in July of 2008. The site is an historic oilfield at a depth of 2500 m in the Cretaceous fluvial Tuscaloosa Formation, developed by Denbury Onshore LLC. The project was unique in deploying a range of geophysical measurements including cross-well seismic and electrical resistivity tomography, from two monitoring wells positioned in line from the injector and several 100 ft down-dip in the Tuscaloosa. The CO 2 Capture Project (CCP) took advantage of the multiple field acquisitions of borehole data during the injection phase of this project to acquire timelapse borehole gravity in the two monitoring wells. The objective was twofold; the first to understand the operational aspects and design of the acquisition, while the second was to assess the ability of the surveys to detect the injected CO 2 . The baseline acquisition occurred in October 2009 and the repeat survey in September 2010.

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Section: Operational Planningmentioning

confidence: 98%

Evaluating time-lapse borehole gravity for CO2 plume detection at SECARB Cranfield

Dodds¹,

Krahenbuhl

Reitz

et al. 2013

International Journal of Greenhouse Gas Control

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“…There has been intensive recent development in instrumentation and data quality in borehole gravity meter (BHGM) acquisition (e.g., Scintrex (2013)), and BHGM densities are being applied in new ways in geophysical basin research (e.g., Ander and Biegert (2006)). However, there has been relatively little work published on conversion from BHGM data to densities (e.g., LaFehr (1983); Li and Chouteau (1999); Ander (2006); MacQueen (2007); and MacQueen and Mann (2007)). In our contribution, we test a new method, which is built upon a regularized deconvolution algorithm in the spectral domain.…”

Section: Introductionmentioning

confidence: 99%

Density function evaluation from borehole gravity meter data – regularized spectral domain deconvolution approach

Karcol

Pašteka

2016

Geophysical Prospecting

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We present a new method of transforming borehole gravity meter data into vertical density logs. This new method is based on the regularized spectral domain deconvolution of density functions. It is a novel alternative to the “classical” approach, which is very sensitive to noise, especially for high‐definition surveys with relatively small sampling steps. The proposed approach responds well to vertical changes of density described by linear and polynomial functions. The model used is a vertical cylinder with large outer radius (flat circular plate) crossed by a synthetic vertical borehole profile. The task is formulated as a minimization problem, and the result is a low‐pass filter (controlled by a regularization parameter) in the spectral domain. This regularized approach is tested on synthetic datasets with noise and gives much more stable solutions than the classical approach based on the infinite Bouguer slab approximation. Next, the tests on real‐world datasets are presented. The properties and presented results make our proposed approach a viable alternative to the other processing methods of borehole gravity meter data based on horizontally layered formations.

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3D joint inversion of surface and borehole gravity data using zeroth-order minimum entropy regularization

Peng

Sun

2021

Appl. Geophys.

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High‐resolution density from borehole gravity data

Cited by 29 publications

References 2 publications

Evaluating time-lapse borehole gravity for CO2 plume detection at SECARB Cranfield

Evaluating time-lapse borehole gravity for CO2 plume detection at SECARB Cranfield

Density function evaluation from borehole gravity meter data – regularized spectral domain deconvolution approach

3D joint inversion of surface and borehole gravity data using zeroth-order minimum entropy regularization

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