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Grisel Jimenez

| Researcher👨‍🔬| 3D/4D Carbonate/Clastic Modelling🌍| Reservoir Characterization🛰️|

| Virtual Reality, Image analysis🌊| Climate Change🌡️| Geoconservation/ Natural Disater Policies🌆|


Hi, 👋,I'm Grisel Jimenez Soto an Earth Scientist and Technology Enthusiastic ⛰ from La Paz, Bolivia.

I am a Research Scientist at the Center of Seismic Imaging Univerti Teknologi Petronas

My research interest includes: 3D/4D Reservoir modelling (GIS, carbonate/clastic reservoir, sedimentology and VR/AR application for Geosciences. I am interested in transforming creative scientific ideas into user-friendly applications to help in problem-solving.

I have ~14 years of work experience in different countries like Bolivia, Brazil, Canada, France, and Malaysia, both in Exploration and Development including several domains from Fieldwork Geology, Sedimentology, and 3D Reservoir Modeling. Grisel has extensive Outcrop and Sedimentology experience in Western Cordillera, North and South Subdandean of Bolivia and northern Argentina, Deepwater Angola, Offshore Japan, Santos Basin, Brazil. Grisel is proficient in several languages including Spanish, English, French, Italian, and Portuguese. I am also working as well as open to any collaboration opportunity.

Beside my current research, I enjoy traveling mountains around Asia 🗻 and The Andes, aereal photography/drones, running, and collecting when possible rocks and fossils.

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Grisel Jiménez's Projects

awesome-open-geoscience icon awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

blendergis icon blendergis

Blender addons to make the bridge between Blender and geographic data

carbonate-characterization-workflow-using-clerkes-carbonate-arab-d-rosetta-stone-calibration-data icon carbonate-characterization-workflow-using-clerkes-carbonate-arab-d-rosetta-stone-calibration-data

This repository uses Jupyter Notebooks to demonstrate a tried and proven workflow with the techniques as described by Phillips(1) et al. used in the characterization of most Arab D reservoirs in Saudi Arabia. Permeability, Petrophysical Rock Types (PRT), Capillary Pressure and modeled saturations are all estimated or calculated in this workflow in order to characterize this complex carbonate reservoirs, and Clerke’s(2) Arab D Rosetta Stone core analysis database is used as the calibration data.

coastsat icon coastsat

Global shoreline mapping tool from satellite imagery

compgeo icon compgeo

Computational geosciences resource at UiS

darwincat icon darwincat

Shiny app visualizing the effects of carbonate stratigraphy on trait evolution

datasets icon datasets

Various unique "real-world" datasets specifically for deep learning purpose.

deck.gl icon deck.gl

WebGL2 powered visualization framework

dlisio icon dlisio

Python library for working with the well log format Digital Log Interchange Standard (DLIS V1)

exageostat icon exageostat

A High Performance Unified Framework for Geostatistics on Manycore Systems.

gemgis icon gemgis

Geographic information processing for geomodeling

gempy icon gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geoapps icon geoapps

Some applications, mostly in Python, using solutions from Mira Geoscience

geocompy icon geocompy

Geocomputation with Python: an open source book and online resource for getting started in this space

geolog-python-loglan-use-of-altair-to-interrogate-log-analysis-data icon geolog-python-loglan-use-of-altair-to-interrogate-log-analysis-data

The objective of this repository is take advantage of Geolog's powerful python loglan capabilities to interrogate Petrophysical well log data using python's interactive Altair in Geolog. The use of python in Geolog will allow us to leading-edge data science techniques in Geolog to process, interrogate and interpret out logs.

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