Geophysics in the Affairs of Mankind

Lawyer, L. C.; Bates, Charles C.; Rice, Robert B.

doi:10.1190/1.9781560801788

Cited by 17 publications

(3 citation statements)

References 83 publications

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“…Geophysical methods, primarily those capable of detecting oil-bearing rocks, emerged in the early 1900s during the rise of the petroleum industry (Clark, 2005;Lawyer et al, 2001). These methods were developed as they could assist with reservoir location and characterization, thereby improving the Vadose Zone Journal though Archie's findings were initially solely used in the petroleum industry, the hydrogeophysical community often applies Archie's laws to the petrophysical analysis of nearsurface soils (Y.…”

Section: Introductionmentioning

confidence: 99%

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On the accuracy of saturation estimation from electrical measurements of soils with high swelling clay content

Saneiyan,

Gimenez,

Siegenthaler

et al. 2024

Vadose Zone Journal

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Electrical conductivity models have been widely used to estimate water content and petrophysical properties of soils in hydrogeophysical studies. However, these models are typically only valid for soils with non‐expandable matrices because they were originally developed for clean sandstone reservoir rocks. Soils containing swelling clays are characterized by matrices that expand/contract upon gaining/losing water. In this laboratory study, we demonstrate that soil matrix changes affect saturation estimation using Archie's laws. A sample of a soil containing a swelling clay was fully saturated with a potassium chloride solution, then left to dry evaporatively at room temperature for 8 days. The complex resistivity of the soil, along with its weight and volume shrinkage, were measured daily during the drying period, and the surface conductivity was calculated based on previous empirical findings. Over the course of the study, the simultaneous evaporation yielded a 33% decrease in volume and caused a nonlinear reduction in saturation with decreasing water content. Accounting for surface conductivity and correcting for saturation using the calculated volume reduction resulted in a power‐law relationship with high R2 values between resistivity and saturation along with reasonable saturation exponents. On the contrary, neglecting either surface conductivity or shrinkage caused similar underestimations of saturation exponents. These results indicate that the application of Archie's second law to soils with swelling clays leads to erroneous predictions of resistivity if saturation values are not corrected for changes in the volume of the soil and surface conductivity is neglected.

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Section: Introductionmentioning

confidence: 99%

“…Geophysical methods, primarily those capable of detecting oil‐bearing rocks, emerged in the early 1900s during the rise of the petroleum industry (Clark, 2005; Lawyer et al., 2001). These methods were developed as they could assist with reservoir location and characterization, thereby improving the success of drilling operations.…”

Section: Introductionmentioning

confidence: 99%

On the accuracy of saturation estimation from electrical measurements of soils with high swelling clay content

Saneiyan,

Gimenez,

Siegenthaler

et al. 2024

Vadose Zone Journal

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“…For a comprehensive review of the history and development of the exploration seismology method, we refer the reader to Yilmaz (2001), Lawyer et al. (2001), and Bednar (2005).…”

Section: Introductionmentioning

confidence: 99%

Big Data Seismology

Arrowsmith

Trugman

MacCarthy

et al. 2022

Reviews of Geophysics

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The discipline of seismology is based on observations of ground motion that are inherently undersampled in space and time. Our basic understanding of earthquake processes and our ability to resolve 4D Earth structure are fundamentally limited by data volume. Today, Big Data Seismology is an emergent revolution involving the use of large, data‐dense inquiries that is providing new opportunities to make fundamental advances in these areas. This article reviews recent scientific advances enabled by Big Data Seismology through the context of three major drivers: the development of new data‐dense sensor systems, improvements in computing, and the development of new types of techniques and algorithms. Each driver is explored in the context of both global and exploration seismology, alongside collaborative opportunities that combine the features of long‐duration data collections (common to global seismology) with dense networks of sensors (common to exploration seismology). The review explores some of the unique challenges and opportunities that Big Data Seismology presents, drawing on parallels from other fields facing similar issues. Finally, recent scientific findings enabled by dense seismic data sets are discussed, and we assess the opportunities for significant advances made possible with Big Data Seismology. This review is designed to be a primer for seismologists who are interested in getting up‐to‐speed with how the Big Data revolution is advancing the field of seismology.

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A Companion to the History of American Science

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Geophysics in the Affairs of Mankind

Cited by 17 publications

References 83 publications

On the accuracy of saturation estimation from electrical measurements of soils with high swelling clay content

On the accuracy of saturation estimation from electrical measurements of soils with high swelling clay content

Big Data Seismology

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