Case histories of LOTEM surveys in hydrocarbon prospective area

Strack, K. M.; Hanstein, T.; LeBrocq, K.; Moss, D.; Vozoff, K.; Wolfgram, Peter

doi:10.3997/1365-2397.1989027

Cited by 45 publications

(11 citation statements)

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“…While not successful for this survey, it is a useful tool in workflows when honouring multiple data sets is key to a successful interpretation. The workflow pioneered in Western Australia was further substantiated in test surveys (Strack et al, 1989) and feasibility studies (Strack, 1992), an example of which is shown in Figure 4. The figure illustrated how geometric constraints are needed for CSEM interpretation and that indeed the electric fields are biased toward resistors and the magnetic fields are biased towards conductors.…”

Section: Discussionmentioning

confidence: 96%

“…With a graduate student he embarked on writing numerous proposals to Australian industry to fund the development of a Lotem system. After several smaller grants, he received a larger grant, which allowed him to work with Esso Australia on a survey in Western Australia (Vozoff et al, 1985;Vozoff, 1987, Strack et al, 1989. Subsequently, more work continued in Europe and in Australia mostly in collaboration.…”

Section: Introductionmentioning

confidence: 99%

“…On the left side the synthetic data was inverted unconstraint and on the right side, the data was constraint with seismic. (afterStrack et al, 1989).…”

mentioning

confidence: 99%

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Vozoff’s influence on LOTEM for hydrocarbon applications

Strack¹

2010

ASEG Extended Abstracts

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Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Vozoff’s influence on LOTEM for hydrocarbon applications

Strack¹

2010

ASEG Extended Abstracts

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“…The transient electromagnetic method belongs to the class of controlled-source electromagnetic geophysical techniques originally used for discrete conductors in base-metal exploration (Wait 1951;Staples 1984). For several decades, it has been applied successfully to hydrocarbon, hydrogeologic, engineering, and geothermal studies (Fitterman and Stewart 1986;Strack et al 1989;McNeill 1990;Nabighian and Macnae 1991;Danielsen et al 2003;Christiansen, Auken and Sørensen 2009;Soupios et al 2009;Spichak and Manzella 2009;Abu Rajab and El-Naqa 2013). More recent improvements in hardware, software, and survey designs have allowed the characterising of geological layers and shallow subsurface mapping (Buselli 1985;Sinha 1990;Danielsen et al 2003; Jørgensen et al 2003;Persson and Erlström 2015;Barsukov and Fainberg 2016).…”

Section: Transient Electromagnetic Methodsmentioning

confidence: 99%

Illuminating and optimising a three‐dimensional model of an oil shale seam and its volume distribution using the transient electromagnetic induction method, central part of Jordan

Rajab

Tarazi

2017

Geophysical Prospecting

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The oil shale exploration program in Jordan is undertaking great activity in the domain of applied geophysical methods to evaluate bitumen‐bearing rock. In the study area, the bituminous marl or oil shale exhibits a rock type dominated by lithofacies layers composed of chalky limestone, marls, clayey marls, and phosphatic marls. The study aims to present enhancements for oil shale seam detection using progressive interpretation from a one‐dimensional inversion to a three‐dimensional modelling and inversion of ground‐based transient electromagnetic data at an area of stressed geological layers. The geophysical survey combined 58 transient electromagnetic sites to produce geoelectrical structures at different depth slices, and cross sections were used to characterise the horizon of the most likely sites for mining oil shale. The results show valuable information on the thickness of the oil shale seam at 3.7 Ωm, which is correlated to the geoelectrical layer between 2‐ and 4 ms transient time delays, and at depths ranging between 85 and 105 m. The 300 m penetrated depth of the transient electromagnetic soundings allows the resolution of the main geological units at narrow resistivity contrast and the distinction of the main geological structures that constrain the detection of the oil shale seam. This geoelectrical layer at different depth slices illustrates a localised oil shale setting and can be spatially correlated with an area bounded by fold and fault systems. Also, three‐dimensional modelling and inversion for synthetic and experimental data are introduced at the faulted area. The results show the limitations of oil shale imaging at a depth exceeding 130 m, which depends on the near‐surface resistivity layer, the low resistivity contrast of the main lithological units, and the degree of geological detail achieved at a suitable model's misfit value.

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“…Since the vector of response variations, or, lies on the space spanned by U, only the parallel component of the error vector can be explained by Equation (2). Due to the orthogonality of e 1 with respect of all column vectors in U (Uj' j = 1, ... ,N p ), we can say that: 4 and, since e l belongs to the space spanned by U, there exists a set of relative variations of parameters, op, for which,…”

Section: Resolution Conceptsmentioning

confidence: 99%

Simultaneous Inversion of Galvanic and Induction Logging Measurements to Improve Resolution

Mezzatesta¹,

Payton²,

Strack³

et al. 1994

Proceedings of SPE Latin America/Caribbean Petroleum Engineering Conference

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Improved resolution in estimating fonnation resistivities can provide more accurate values of residual and movable hydrocarbon saturations. Routinely, fonnation resistivity infonnation derived from galvanic and induction logging measurements are interpreted independently. As a result, several models of fonnation resistivity can emerge that are typically not consistent. Here, we illustrate how simultaneous inversion of data from galvanic and induction tools can yield more consistent and better resolved parameters. When measuring fonnation resistivities, differentReferences and illustrations at end of paper 1059 SPE26976 Simultaneous Inversion of Galvanic and Induction Logging Measurements to Improve Resolution 2 complete concept of resolution is proposed that involves earth model, measuring device, data noise, and interpretation technique as components.A number of earth models and tool combinations (Dual Laterolog, Dual Induction, Thin Bed Resistivity Tool, Microlaterolog) are analyzed and discussed under the framework of the proposed resolution concept. The analysis clearly shows the advantages of combining data from different instruments to improve interpreted results.

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Case histories of LOTEM surveys in hydrocarbon prospective area

Cited by 45 publications

References 0 publications

Vozoff’s influence on LOTEM for hydrocarbon applications

Vozoff’s influence on LOTEM for hydrocarbon applications

Illuminating and optimising a three‐dimensional model of an oil shale seam and its volume distribution using the transient electromagnetic induction method, central part of Jordan

Simultaneous Inversion of Galvanic and Induction Logging Measurements to Improve Resolution

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