Improving reservoir characterization using four innovative seismic technologies

Developing a successful career in geophysics today

Formation Chlorine Measurement from Spectroscopy Enables Water Salinity Interpretation

Potential & challenges of applying artificial intelligence & machine-learning methods for geoscience

Environment-friendly exploration using magnetotellurics

Biogeophysics: Exploring Earth’s Subsurface Biosphere Using Geophysical Approaches

Sustainability Concepts: A necessary framework for our geoscience-related organization & individual

Demonstrating an acceptable level of impact: an assessment of noise impacts to fishes from a seismic survey in an Australian Marine Park

Ancient volcanic plumbing systems in sedimentary basins: a guide for hydrocarbon explorers

Integrated Approaches to Determining Net Pay: Caveats & Lessons Learned

Investigation of Physical Properties of Hydrocarbons in Unconventional Mudstones Using Two-Dimensional Nmr Relaxometry

Automating Seismic Data Analysis and Interpretation

Deep Learning for Seismic Processing and Interpretation

Generalized sampling and gradiometry: Changing the rules of the information game

Regional to reservoir stress-induced seismic azimuthal anisotropy

Azimuthal P-P seismic measurements: Past, present, and future

What on earth do geologists do?

De-risking exploration and development with realistic 3D geologic modeling, geophysical seismic simulation, and imaging

Digital Rock Technology for Accelerated RCA and SCAL: Application Envelope and Required Corrections

Fifty Photos for Fracture Aficionados

Induced polarization effect in time-domain electromagnetic prospecting, noise or signal?

Advancing the Use of Geophysical Methods for Sustainable Groundwater Management

The Final Piece of The Puzzle: 3-D Inversion of Ultra-Deep Azimuthal Resistivity LWD Data

The Complexity Just below Our Feet and the Implication for the Fidelity of Land Seismic Data

Lessons Learned in Permian Core Analysis: Comparison Between Retort, GRI, and Routine Methodologies

Data Science for Oil & Gas

Quantitative Interpretation of Oil-Base Mud Microresistivity Imager Via Artificial Neural Networks

A Machine Learning Framework for Automating Well Log Depth Matching

Estimating Net Sand With A Neural Network From Borehole Images in Laminated Deepwater Reservoirs

A Video Field Trip to the Permian and Orogrande BasinsNew

Reservoir Characterization for the Next Generation

Crushed Rock Analysis Workflow

Energía Sustentable/Sustainable Energy

Shale Petrophysics

Seismic Attenuation, Dispersion and Anisotropy in Porous Rocks: Mechanisms and Models

Thermal Maturity-Adjusted Log Interpretation in Organic Shales