Blending Geoscience Research with Machine Learning

research Highlights

We are John Lab, a research group hosted in the Department of Earth Science and Engineering, at Imperial College London. Our approach blends machine learning with cutting edge experimental Earth and Planetary Sciences.

AI Research

Our group applies data-centric machine learning techniques to Earth and planetary sciences, leading to innovative approaches for analyzing and interpreting data in these fields.

Carbonate Research

Our research in carbonates focuses on the processes involved in their formation and alteration, and how these processes impact the geochemistry and stratigraphy of carbonate rocks.

Software Products

Our research has led to the development of free software tools that have been widely used by researchers in our fields. These tools have made it easier to analyze and interpret data..

Publications

Our group has published over 100 peer-reviewed papers in a variety of fields, including clumped isotopes, carbonate diagenesis, climate change, stratigraphy, AI and machine learning.

Using Machine Learning to Predict Production Success in Unconventional Shale Reservoirs

Using Machine Learning to Predict Production Success in Unconventional Shale Reservoirs

Unconventional shale reservoirs have had a major impact on the energy industry, but predicting production based on reservoir geology characterization has largely focused on identifying “sweet spots” rather than overall production trends across multiple plays. In a recent study, we…

Easotope: A Powerful Tool for Clumped Isotope Data Analysis

Easotope: A Powerful Tool for Clumped Isotope Data Analysis

Our goal is to make the process of analyzing clumped isotope data as easy and accurate as possible. That’s why we’ve developed software that streamlines every step of the process, from data acquisition to projection into a universal scale recognized…

Improving the Reliability of Geological Data with Convolutional Neural Networks

Improving the Reliability of Geological Data with Convolutional Neural Networks

Geological practices, both in industry and academia, rely heavily on observational data from a variety of scales. However, ambiguities in the petrographic description of rock facies can reduce the reliability of this data. In a recent study, we explored the…

Introducing the IBEX: the ultimate solution for clumped isotope preparation

Introducing the IBEX: the ultimate solution for clumped isotope preparation

Our custom-designed, fully automated preparation line is a game-changer for labs everywhere. With a 40 position autosampler and compatibility with mass spectrometers from Thermo Fisher and Nu Instrument, the IBEX is designed to increase throughput and data quality. One of…

Meet the team

We are a diverse and vibrant lab that comprises a Reader (head of lab), two research officers, and a number of PhD students, post-docs and MSc students.