Prediction of 3‐D fluid permeability and mudstone distributions from ground‐penetrating radar (GPR) attributes: Example from the Cretaceous Ferron Sandstone Member, east‐central Utah

Geophysics ◽  
2002 ◽  
Vol 67 (5) ◽  
pp. 1495-1504 ◽  
Author(s):  
Rucsandra M. Corbeanu ◽  
George A. McMechan ◽  
Robert B. Szerbiak ◽  
Kristian Soegaard

A 3‐D fluid permeability distribution is estimated inside a channel sandstone reservoir analog in the Cretaceous Ferron Sandstone fluvio‐deltaic complex in east‐central Utah from ground‐penetrating radar (GPR) attributes. Fluid permeability measurements at 5 cm spacing along four boreholes and one pseudohole section at the adjacent cliff face are used together with instantaneous amplitude and frequency attributes of GPR data to predict fluid permeabilities away from the measured vertical transects and to delineate the distribution and geometry of mudstone layers inside the reservoir analog. Statistically significant relationships are determined between the well data (fluid permeability and mudstone content) and the GPR attributes. These calibrations are applied to the entire GPR volume to estimate the 3‐D fluid permeability variation and the lateral development of mudstone units. Measured and predicted fluid permeabilities range from 0.1 to 290 md. One of the five units considered contained no mudstone layers; cores from the other four units contained 18–42% mudstone and mudstone intraclast conglomerate. The mudstone content is estimated to be 8% by volume in these four units. Variograms show that the mudstone bodies fall into two main categories; most are 2.3–3.5 m in extent in the maximum correlation direction, with anisotropies of 0.4 to 0.7. A few ribbonlike mudstone bodies are also present, with 20‐ to 30‐m extents in the maximum correlation direction and with anisotropies of ∼0.1.

Geophysics ◽  
2000 ◽  
Vol 65 (4) ◽  
pp. 1142-1153 ◽  
Author(s):  
Paulette Tercier ◽  
Rosemary Knight ◽  
Harry Jol

We have used geostatistical analysis of radar reflections to quantify the correlation structures found in 2-D ground‐penetrating radar (GPR) images. We find that the experimental semivariogram, the product of the geostatistical analysis of the GPR data, is well‐defined and can be modeled using standard geostatistical models to obtain an estimate of the range or correlation length, and the maximum correlation direction, in the 2-D GPR image. When we compare the results from geostatistical analysis of GPR data from selected deltaic and barrier‐spit depositional environments we find different correlation structures in GPR images from different depositional environments. GPR images from braid deltas have near‐horizontal correlation directions and correlation lengths on the order of a few meters. In contrast, the GPR image of a fan‐foreset delta has a very long (>24 m) correlation length and a maximum correlation direction plunging 20°. In the GPR images from barrier spits, we find maximum correlation directions that are horizontal or plunging a few degrees. The correlation lengths range from 7 to 43 m, depending on the orientation of the GPR image relative to spit end growth, and on the specific radar facies that is analyzed.


2020 ◽  
pp. 147592172097699
Author(s):  
Isabel M Morris ◽  
Vivek Kumar ◽  
Branko Glisic

We present here a laboratory-based experimental protocol that seeks to establish and characterize the relationship between ground-penetrating radar attributes and the mechanical properties (density, porosity, and compressive strength) of typical industry concrete mixes. The experimental data consist of ground-penetrating radar attributes from 900 MHz radargrams that correspond to simultaneously measured physical properties of Portland cement concrete, alkali-activated concrete, and cement mortar. Appropriate regression models are trained and tested on this data set to predict each physical property from ground-penetrating radar attributes. From a small selection of individual attributes, including total phase and intensity, trained random forest regression models predict porosity ( R2 = 0.83 from the instantaneous amplitude), density ( R2 = 0.67 from the intensity attribute), and compressive strength ( R2 = 0.51 from instantaneous amplitude). These novel relationships between physical properties and ground-penetrating radar attributes indicate that material properties could be predicted from the attributes of ordinary ground-penetrating radar scans of concrete.


2015 ◽  
Vol 60 (2) ◽  
pp. 645-656 ◽  
Author(s):  
Sylwia Tomecka-Suchoń ◽  
Henryk Marcak

Abstract Sinkholes which occur in regions of old mine workings increase the risk to building and transport safety. Geophysical surveys, particularly with the use of ground penetrating radar (GPR), can help to locate underground voids which migrate towards the surface before they transform into sinkholes. The mining region in Upper Silesia, Poland was selected to test the method. The test was carried out on the profile at which sinkhole appeared few months after measurements. It can be assumed that the development of deformations in the ground was preceded by hydraulic and geomechanical processes, which directly caused this event. To identify the cause of the sinkhole formation exactly in this place in which it is located we carried out interpretation of GPR measurements through the calculation of GPR signals attributes such as instantaneous phase, instantaneous amplitude envelope, envelope derivative, envelope second derivative. The difference between two similar recorded data can be interpreted as a result of existence of hydraulic channels. On reflection, it appears that GPR signals attributes can be an important tool not only in the location of a cavity voids, but also can help in understanding the mechanisms of formation of the sinkholes.


Geophysics ◽  
1997 ◽  
Vol 62 (3) ◽  
pp. 786-796 ◽  
Author(s):  
George A. McMechan ◽  
Gerard C. Gaynor ◽  
Robert B. Szerbiak

Clastic reservoir analogs based on 2-D outcrop studies provide valuable definitions of geometric and petrophysical heterogeneities at interwell scales. Integration of 3-D ground‐penetrating radar (GPR) surveys with sedimentological and stratigraphic data provides information on the internal heterogeneities of sedimentary sequences at scales that allow dissection of the 3-D anatomy of clastic depositional systems. Two 3-D GPR data volumes were acquired in the Ferron sandstone of east‐central Utah. The data show prominent lenticular features, a variety of lithologies, and structural elements such as channels and shale drapes that match well with those seen at the same stratigraphic levels in adjacent cliff faces.


Author(s):  
M. S. Sudakova ◽  
M. L. Vladov ◽  
M. R. Sadurtdinov

Within the ground penetrating radar bandwidth the medium is considered to be an ideal dielectric, which is not always true. Electromagnetic waves reflection coefficient conductivity dependence showed a significant role of the difference in conductivity in reflection strength. It was confirmed by physical modeling. Conductivity of geological media should be taken into account when solving direct and inverse problems, survey design planning, etc. Ground penetrating radar can be used to solve the problem of mapping of halocline or determine water contamination.


2017 ◽  
Vol 3 (1) ◽  
pp. 73-83
Author(s):  
Rahmayati Alindra ◽  
Heroe Wijanto ◽  
Koredianto Usman

Ground Penetrating Radar (GPR) adalah salah satu jenis radar yang digunakan untuk menyelidiki kondisi di bawah permukaan tanah tanpa harus menggali dan merusak tanah. Sistem GPR terdiri atas pengirim (transmitter), yaitu antena yang terhubung ke generator sinyal dan bagian penerima (receiver), yaitu antena yang terhubung ke LNA dan ADC yang kemudian terhubung ke unit pengolahan data hasil survey serta display sebagai tampilan output-nya dan post  processing untuk alat bantu mendapatkan informasi mengenai suatu objek. GPR bekerja dengan cara memancarkan gelombang elektromagnetik ke dalam tanah dan menerima sinyal yang dipantulkan oleh objek-objek di bawah permukaan tanah. Sinyal yang diterima kemudian diolah pada bagian signal processing dengan tujuan untuk menghasilkan gambaran kondisi di bawah permukaan tanah yang dapat dengan mudah dibaca dan diinterpretasikan oleh user. Signal processing sendiri terdiri dari beberapa tahap yaitu A-Scan yang meliputi perbaikan sinyal dan pendektesian objek satu dimensi, B-Scan untuk pemrosesan data dua dimensi  dan C-Scan untuk pemrosesan data tiga dimensi. Metode yang digunakan pada pemrosesan B-Scan salah satunya adalah dengan  teknik pemrosesan citra. Dengan pemrosesan citra, data survey B-scan diolah untuk didapatkan informasi mengenai objek. Pada penelitian ini, diterapkan teori gradien garis pada pemrosesan citra B-scan untuk menentukan bentuk dua dimensi dari objek bawah tanah yaitu persegi, segitiga atau lingkaran. 


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