Mayra D.L. Carrasquilla

ORCID: 0009-0000-1885-3333
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About
Contact & Profiles
Research Areas
  • Seismic Imaging and Inversion Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Seismic Waves and Analysis
  • Drilling and Well Engineering
  • Geological and Tectonic Studies in Latin America

University of Houston
2023

Universidade Federal do Pará
2022

Pedagogical and Technological University of Colombia
2016

Knowing the intrinsic elastic anisotropy properties of reservoir rocks in enhanced geothermal systems is important stress field inversion and accurate determination induced microseismic events. Here, we perform lab experiments to measure P- S-wave velocities determine seismic using a foliated non-foliated granite rock. We both attenuations with increasing confining pressures from 5 50 MPa ultrasonic frequency bands. As pressure increases, results demonstrate significant increases P-wave...

10.1190/image2023-3917326.1 article EN 2023-12-14

El presente estudio, tuvo como objetivo realizar nuevos aportes al conocimiento e interpretación del paleoambiente de los carbones la Formación Guaduas, edad Maestrichtiano Superior a Paleoceno. Se realizó el análisis petrográfico 64 muestras colectadas con método canal en tres secciones sinclinal Checua-Lenguazaque (Sutatausa, Guachetá y Samacá), estableciéndose que están compuestos principalmente por macerales grupo vitrinita porcentajes entre (51.4% - 87%), seguidos inertinita (5.4%...

10.19053/1900771x.v16.n2.2016.5444 article ES cc-by-sa Ingeniería Investigación y Desarrollo 2016-09-21

Determination of the reflection coefficients is a key element to well-to-seismic tie, and density log has great petrophysical importance as it used calculate acoustic impedance reflectivity log. Many authors have developed empirical relations determine bulk from other logs information such compressional velocity shale volume fraction. However, machine learning (ML) techniques advanced, many works them solve problems involving regression classification in well-log data. The primary goal this...

10.22564/brjg.v40i2.2166 article EN cc-by Brazilian Journal of Geophysics 2022-11-28
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