Using crosswell EM to track waterflooding at the Lost Hills oil field

Wilt, Michael; Little, Jeff; Zhang, Ping; Chen, Jiuping; Morea, Michael F.

doi:10.1190/1.2147916

Cited by 3 publications

(2 citation statements)

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“…Finally, our inversion algorithm has been applied to a set of crosswell EM data collected as a part of water flood monitoring at the Lost Hills oil field in central California (Wilt et al, 2001). Two fiberglass cased wells were installed at the southern margin of the oil field for the monitoring and the separation between these two observation wells was 82 m. Although EM data for the pre-and post-injection of water are available, we analyze only the pre-injection EM (M z -H z ) data.…”

Section: Crosswell Tomographymentioning

confidence: 99%

“…Both methods give similar images for different model dimensions. The resistive (1.5 -2 ohm-m) zone shallower than 760 m is considered as the chief oil bearing zone at the field (Wilt et al, 2001). Alumbaugh and Morrison (1995) showed that the effects of structures outside of the interwell plane are minimized for borehole separations greater than five skin depths.…”

Section: Crosswell Tomographymentioning

confidence: 99%

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Efficient crosswell EM Tomography using localized nonlinear approximation

Kim¹,

Song²,

Lee³

et al. 2004

Exploration Geophysics

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This paper presents a fast and stable imaging scheme using the localized nonlinear (LN) approximation of integral equation (IE) solutions for inverting electromagnetic data obtained in a crosswell survey. The medium is assumed to be cylindrically symmetric about a source borehole and to maintain the symmetry a vertical magnetic dipole is used as a source. To find an optimum balance between data fitting and smoothness constraint, we introduce an automatic selection scheme of Lagrange multiplier, which is sought at each iteration with a least misfit criterion. In this selection scheme, the IE algorithm is quite attractive in speed because Green's functions, a most time-consuming part in IE methods, are repeatedly reusable throughout the inversion process. The inversion scheme using the LN approximation has been tested to show its stability and efficiency using both synthetic and field data. The inverted image derived from the field data, collected in a pilot experiment of water flood monitoring in an oil field, is successfully compared with that of a 2.5-dimensional inversion scheme..

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Section: Crosswell Tomographymentioning

confidence: 99%

Section: Crosswell Tomographymentioning

confidence: 99%

Efficient crosswell EM Tomography using localized nonlinear approximation

Kim¹,

Song²,

Lee³

et al. 2004

Exploration Geophysics

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show abstract

2.5D forward and inverse modeling for interpreting low-frequency electromagnetic measurements

et al. 2008

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We present 2.5D fast and rigorous forward and inversion algorithms for deep electromagnetic (EM) applications that include crosswell and controlled-source EM measurements. The forward algorithm is based on a finite-difference approach in which a multifrontal LU decomposition algorithm simulates multisource experiments at nearly the cost of simulating one single-source experiment for each frequency of operation. When the size of the linear system of equations is large, the use of this noniterative solver is impractical. Hence, we use the optimal grid technique to limit the number of unknowns in the forward problem. The inversion algorithm employs a regularized Gauss-Newton minimization approach with a multiplicative cost function. By using this multiplicative cost function, we do not need a priori data to determine the so-called regularization parameter in the optimization process, making the algorithm fully automated. The algorithm is equipped with two regularization cost functions that allow us to reconstruct either a smooth or a sharp conductivity image. To increase the robustness of the algorithm, we also constrain the minimization and use a line-search approach to guarantee the reduction of the cost function after each iteration. To demonstrate the pros and cons of the algorithm, we present synthetic and field data inversion results for crosswell and controlled-source EM measurements.

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2013

Practical Applications of Time-Lapse Seismic Data

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Using crosswell EM to track waterflooding at the Lost Hills oil field

Cited by 3 publications

References 5 publications

Efficient crosswell EM Tomography using localized nonlinear approximation

Efficient crosswell EM Tomography using localized nonlinear approximation

2.5D forward and inverse modeling for interpreting low-frequency electromagnetic measurements

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