Data-Driven Reservoir Fluid Evaluation While Drilling: An Integrated Technology for Advanced Mud Gas Analysis

Summary The GOLD (Gas Oil Logging while Drilling) system is an integrated technology designed for real-time reservoir fluid evaluation while drilling. It combines thermodynamic gas extraction, advanced mud gas chromatography, and cloud-based predictive modeling to infer key fluid properties such as API gravity and gas-oil ratio (GOR) directly from mud gas data. GOLD employs a constant-volume suction probe, thermal control, and a chromatograph for gas analysis. Surface data is processed in the cloud using multivariate statistical models and machine learning trained on extensive PVT datasets. This allows fluid zone detection, fluid typing, biodegradation analysis, and molar composition estimation without the need for formation tests or laboratory PVT analysis. Field deployments, including in Brazilian pre-salt wells, demonstrated high accuracy, with deviations of less than ±5°API and ±200 m3∕m3 GOR when compared to laboratory results. GOLD offers a fast, scalable, and cost-effective alternative for digital reservoir characterization.

Authors

Institutions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.202535042
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data-Driven Reservoir Fluid Evaluation While Drilling: An Integrated Technology for Advanced Mud Gas Analysis

Rafael Valladares de Almeida, Leandro Licursi de Oliveira, M. Jacinto, Guilherme Cardoso Medeiros et al.
Drilling and Well Engineering
article

Data-Driven Reservoir Fluid Evaluation While Drilling: An Integrated Technology for Advanced Mud Gas Analysis

Rafael Valladares de Almeida, Leandro Licursi de Oliveira, M. Jacinto, Guilherme Cardoso Medeiros, L. Montalvão
article en

Abstract

Summary The GOLD (Gas Oil Logging while Drilling) system is an integrated technology designed for real-time reservoir fluid evaluation while drilling. It combines thermodynamic gas extraction, advanced mud gas chromatography, and cloud-based predictive modeling to infer key fluid properties such as API gravity and gas-oil ratio (GOR) directly from mud gas data. GOLD employs a constant-volume suction probe, thermal control, and a chromatograph for gas analysis. Surface data is processed in the cloud using multivariate statistical models and machine learning trained on extensive PVT datasets. This allows fluid zone detection, fluid typing, biodegradation analysis, and molar composition estimation without the need for formation tests or laboratory PVT analysis. Field deployments, including in Brazilian pre-salt wells, demonstrated high accuracy, with deviations of less than ±5°API and ±200 m3∕m3 GOR when compared to laboratory results. GOLD offers a fast, scalable, and cost-effective alternative for digital reservoir characterization.

Sinopec (China) (CN), Repsol (Spain) (ES)
Openalex Percentile: Top 66%
Drilling and Well Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Data-Driven Reservoir Fluid Evaluation While Drilling: An Integrated Technology for Advanced Mud Gas Analysis — Rafael Valladares de Almeida, Leandro Licursi de Oliveira, et al. · (2025) | TGRS Research Map | TGRS