PUBLICATIONS
Assessing Organofacies Prediction in the La Luna Sea, Middle Magdalena Basin, Colombia:
Multiproxy & Statistical Approach
September 2025, IMOG – 32nd International Meeting on Organic Geochemistry (Porto, Portugal)
Presents a multiproxy/statistical model (δ¹³C_{TOC}, elemental abundances, TOC/TIC, pyrolysis/kinetics). Shows that reliable organofacies predictions are possible even from thermally mature rocks.
To receive this paper, please contact
geolog@geolog.it
Geochemical Monitoring of CO₂ Storage:
Reactive Minerals and Analytical Tools in Saline and Depleted Reservoirs
September 2025, World CCUS Conference (Bergen, Norway)
Field-ready workflow using cuttings and fluids to track mineral reactions and ionic proxies, helping operators manage CCS risk and optimize surveillance. The workflow emphasizes practical deployment with minimal reliance on complex tools.
To receive this paper, please contact
geolog@geolog.it
Migration tracers unravel migration routes for of Veslefrikk, Oseberg-East and Brage
September 2025, Petroleum Systems Conference
Uses benzocarbazoles and methylxanthones to map migration from the Sogn Graben kitchen to Veslefrikk, Oseberg-East and Brage. Highlights molecular tracers as robust tools for validating basin models and charge history.
To receive this paper, please contact
geolog@geolog.it
Geochemical Production Allocation Over Time for a New Field in the Norwegian North Sea
August 2025, SEG IMAGE
Geochemical fingerprinting complements multiphase flowmeters, quantifying zonal contributions and revealing cross-well communication. It provides a cost-effective independent method for long-term production monitoring.
To receive this paper, please contact
geolog@geolog.it
Cost-effective geochemical strategies for optimizing formation evaluation and property prediction in conventional and unconventional plays
May 2025, SPWLA 66th Annual Logging Symposium (Dubai, UAE)
Presents workflows integrating mud-gas/isotope logging and lab analyses to predict reservoir properties and optimize landing zones. The approach bridges real-time drilling data with lab geochemistry, lowering dependency on core/PVT programs.
To receive this paper, please contact
geolog@geolog.it
Utilization of a Cuttings Based Advanced Ai, Image and Elemental Analysis Workflow to Improve Subsurface Knowledge and Regional Geological Definition:
An Example from the Devonian Section, Awali Field, Onshore Bahrain
May 2025, SPWLA 66th Annual Logging Symposium (Dubai, UAE)
Applies AI image analysis & geochemical data on cuttings to define lithotypes and stratigraphic markers, improving subsurface knowledge and correlation. The workflow enhances sequence stratigraphic interpretation from cuttings.
To receive this paper, please contact
geolog@geolog.it
Advanced Reservoir Characterization Using Drill Cuttings-Based Advanced Image Analysis, Elemental analysis and AI Algorithms:
A case study of the Origanico Inferior and Cocina Members, Vaca Muerta Formation, Neuquén Basin, Argentina
May 2025, SPWLA 66th Annual Logging Symposium (Dubai, UAE)
Digital Cuttings™ workflow combining AI image analysis, XRF/XRD, and calibrated brightness to classify 22 lithotypes and improve formation evaluation & geosteering. The method reduces uncertainty in geosteering and provides standardized cuttings analysis.
To receive this paper, please contact
geolog@geolog.it
Dinámica Redox y Condiciones Anóxicas en el Miembro Galembo (Formación La Luna, VMM):
Implicaciones Paleoambientales y Correlación con Eventos Anóxicos Oceánicos
July 2025, XX Congreso Colombiano de Geología (Cali, Colombia)
Analyzes redox changes in Galembo Member using δ¹³C_{TOC} and trace elements, showing anoxia-suboxia alternations partly synchronous with OAE-3. The study links local basin redox fluctuations to global anoxic events.
To receive this paper, please contact
geolog@geolog.it
Digital and Artificial Intelligence Solutions for Enhancing Oil and Gas Operations
April 2025, 17th OMC Med Energy Conference & Exhibition (Ravenna, Italy)
Showcases virtual metering, ML-based failure prediction, and geochemical production allocation as cost-saving, safer solutions. These AI-driven tools reduce operational risks and extend predictive capabilities in drilling and production.
To receive this paper, please contact
geolog@geolog.it
Exploring Geological Foundations for Sustainable Geothermal Energy: a Review of the internal sector of the Northern Apennines (Italy)
December 2024
Review links geology to sustainable geothermal in Italy’s Northern Apennines. It examines Larderello–Travale and Amiata, using Elba Island as an exhumed analogue. Advanced mapping of permeability, mineralization, fluids and paleostress informs safer, efficient drilling. Findings highlight shallow (1–1.3 km, 220–300 °C) and deep (3.5–4.5 km, >400 °C) reservoirs, underscoring integrated approaches and collaboration.
To receive this paper, please contact
geolog@geolog.it
Vertical and lateral geological and geochemical characterization of the upper and lower benches of the 3rd Bone Spring Sand, a case study in Lea County, New Mexico, USA
June 2024, URTeC
Study integrates drill-cuttings image analysis, XRF/XRD, mud-gas and isotopes to characterize upper ‘V’ and lower ‘W’ benches of the 3rd Bone Spring Sand in Lea County. Twelve lithofacies were defined; upper sands are heterogeneous, lower sands more uniform. Near-real-time insights optimized landing points, indicated bench connectivity, and linked siliciclastic-rich facies (S1–S5) to higher production.
To receive this paper, please contact
geolog@geolog.it
Use of Reservoir Geochemistry in High Water Cut Production: A Case Study in The Karakuş Field
September 2023, IPETGas
Geochemical-based production allocation methods leverage variations between individual reservoirs (EMs) to segregate mixed oil flows, crucial when budget constraints limit options like multiphase flowmeters. This approach, reliant on GC-fingerprinting and deconvolution algorithms, ensures accurate allocation but necessitates diverse chemical profiles among reservoirs for effectiveness.
To receive this paper, please contact
geolog@geolog.it
Using a Drill Cuttings-based Approach to Predict Reservoir Performance for Improved Well Optimization. A Case Study From the Harkey Mills Sand and 2nd Bone Springs Sand, Bone Spring Formation, Lea County, New Mexico, USA
June 2023, URTeC
This study analysed drill cuttings and mud gas data to understand the reservoir parameters of unconventional plays. By classifying lithofacies and identifying the quality of reservoir rock, it was found that wells with higher-quality reservoirs performed better, emphasising the importance of understanding spatial reservoir architecture for optimising production.
To receive this paper, please contact
geolog@geolog.it
Derivation of rock's geomechanical parameters while drilling by combining surface drilling data, gamma ray data, and machine learning techniques in carbonate formations
February 2023, EAGE First Break
This study develops a robust methodology using drilling and well log data, combined with machine learning, to accurately derive geomechanical parameters from 11 wells in Kuwait. It includes an innovative approach—creating a Synthetic Gamma Ray from XRF analysis—to expand its applicability in scenarios where traditional downhole tools aren't viable.
To receive this paper, please contact
geolog@geolog.it
Risk reduction in the derivation of while-drilling wellbore geomechanical properties by utilization of real-time surface logging and gamma ray data through the application of machine learning techniques to pre-existing data sets
June 2023, SPWLA
This work presents a reliable method using surface logging data and well log data to evaluate geomechanical parameters. By employing machine learning algorithms and combining drilling parameters with Gamma Ray, Sonic, and Bulk Density logs, the model successfully predicts geomechanical properties in newly drilled wells, reducing the reliance on Sonic and Density logs and providing a cost-effective.
To receive this paper, please contact
geolog@geolog.it
Multi-well production allocation via petroleum fingerprinting: a case study in the norwegian sea
June 2023, SPWLA
A successful pilot study in the Norwegian Sea showcases effective petroleum fingerprinting for production allocation in offshore wells. Robust mixing model and GC-MS analysis yield accurate results, aligned with multiphase flowmeter data—a cost-effective approach for production allocation without deferment, even in single-level multiwell production.
To receive this paper, please contact
geolog@geolog.it
Geomechanics while Drilling: an innovative methodology to derive Geomechanical parameters in unconventional reservoirs using surface logging data, gamma ray and machine learning
November 2022
In this work, an innovative methodology is proposed to derive several geomechanical parameters (Young's Modulus, UCS, Poisson's ratio, Bulk Modulus, Shear modulus) and equivalent well logs using only drilling parameters or combine them with gamma-ray data (from well logs or via XRF analysis on cuttings by calculating a Chemical Gamma Ray).
To receive this paper, please contact
geolog@geolog.it
An original deconvolution approach for oil production allocation based on geochemical fingerprinting
November 2022
The paper presents an overview of the most widely employed techniques for production allocation. After highlighting the strength and drawbacks of each methodology, the Geolog approach is proposed. It consists of an improved experimental procedure for GC targeting production allocation and a novel deconvolution algorithm developed with Politecnico of Milan.
To receive this paper, please contact
geolog@geolog.it
Probabilistic assessment of equivalent fracture aperture constrained on quasi-real‑time drilling mud loss data
July 2022, Journal of Petroleum Exploration and Production Technology
Politecnico di Milano and Geolog Technologies developed an approach for the characterization of equivalent fracture apertures based on available mud loss information acquired in quasi-real-time while drilling.
To receive this paper, please contact
geolog@geolog.it
Integrated Formation Evaluation Using Multiple Geochemical Solutions to Optimize Reservoir Description and Evaluate Production Potential from Multiple Targets in the Northern Delaware Basin
June 2022, URTeC, URTeC: 3723283
This paper reports an integrated formation evaluation workflow on a multi-well case study in the Northern Delaware Basin using surface logging and laboratory analyses only. We will present how this approach provided subsurface characterization for enabling key drilling and completion decisions and optimizing future well planning and target selections
To receive this paper, please contact
geolog@geolog.it
Sensitivity Analysis and Quantification of the Role of Governing Transport Mechanisms and Parameters in a Gas Flow Model for Low-Permeability Porous Media
April 2022
The scope of the work is identifying a suitable model to represent gas (methane) migration in low-permeability media. This paper analyzed the relative importance of parameters driving gas flow in low-permeability formation. Employing statistical-based approaches, a simple, effective diffusion model embedding major methane flow mechanisms is derived.
To receive this paper, please contact
geolog@geolog.it
Predict Geomechanical Parameters with Machine Learning Combining Drilling Data and Gamma Ray
December, 2021, SPE Middle East Oil & Gas Show, SPE-204688-MS
The paper shows the development of a reliable method for geomechanical parameters evaluation while drilling using surface logging data. It combines ML drilling data, XRF and well log data with machine learning techniques. The paper shows that a model trained with drilling parameters and GR coming from one well can predict the Young Modulus of different wells (same basin)
To download this paper
www.onepetro.org
Novel Approach to Reservoir Continuity Evaluation Through GC-MS Geochemical Fingerprinting
September 2021, 30th International Meeting on Organic Geochemistry, Online Meeting
Placido Franco PhD, Ivo Colombo PhD, Roberto Galimberti PhD,
GeoTech
Assessment of reservoir continuity through GC-fingerprinting is widely recognized to provide reliable results and has proven to be effective in supporting or replacing classical approaches such as those based on pressure data analysis. This paper reports an attempt to extend this reservoir geochemistry approach, normally applied to oil sample analysis, to the fingerprinting of cuttings extracts. Challenges, possible solutions and limitations of such an approach, as well as a case history are reported and discussed thoroughly.
To receive this paper, please contact
geolog@geolog.it
Carbon Isotopes from Mud Gas: Lab IRMS or Wellsite Laser-Assisted Technologies?
September 2019, 29th International Meeting on Organic Geochemistry (IMOG), Gothenburg, Sweden
Bianca Cecconi PhD and Roberto Galimberti PhD,
GeoTech
The objective of the study is to screen differences in carbon isotopic analysis between laboratory GC-IRMS and one of the possible alternative solutions for wellsite deployment, Cavity Ring-Down Spectroscopy (CRDS). Comparison examined advantages and disadvantages of two approaches and technical performances in terms of LoD, precision and accuracy.
To receive this paper, please contact
geolog@geolog.it
Quantification of Uncertainties of Fracture Permeability via Mud Loss Information and Inverse Stochastic Modeling
June 2019, 81st EAGE Annual Conference and Exhibition, London, UK
Alberto Guadagnini Prof., Anna Russian PhD, Monica Riva Prof., Politecnico di Milano, Eliana Russo MSc, Mario Chiaramonte MSc,
GeoTech
Fracture characterization of NFRs plays an important role in hydrocarbon production estimation. Uncertainty propagation from input parameters to model outputs is quantified through a Monte Carlo framework. Stochastic inverse modelling with field data is performed to evaluate posterior probability densities of fracture aperture and to simulate drilling fluid invasion in fractures in quasi-real time during drilling.
To receive this paper, please contact
geolog@geolog.it
H2S detection while drilling: a new approach
March 2019, 14th Offshore Mediterranean Conference and Exhibition, Ravenna, Italy
Luca Mascheroni MSc,
GeoTech
Oil and gas reserve contamination by acid gas is a growing issue and H2S occurrence is more and more frequent. The use of organic scavengers in drilling mud prevents the application of techniques routinely used for H2S detection. Geolog has set up an innovative methodology to highlight H2S distribution in reservoir, even in presence of these scavengers.
To receive this paper, please contact
geolog@geolog.it
High Resolution Geochemistry at Well Site, a New Emerging Tool
March 2019, AAPG Hedberg: The Evolution of Petroleum Systems Analysis: Changing of the Guard from Late Mature Experts to Peak Generating Staff, Houston, USA
Mario Chiaramonte MSc, Roberto Galimberti PhD,
GeoTech
The recent impressive improvements in analytical chemistry, due on one side to the growing needs of environmental monitoring and on the other to fast developments in nanotechnologies, made possible to move part of geochemical lab activities to wellsite. New portable and more robust instruments, able treplace bulky and complex instruments used in the labs, have been adopted in mud logging units, to introduce geochemistry at well site. This trend is still ongoing and other analytical techniques will be moved soon, offering new opportunities to get in quasi-real time additional high value data, matching lab quality standards.
To receive this paper, please contact
geolog@geolog.it
