Refined reservoir mapping while drilling for a strategic exploitation of deep-development reservoirs

Deep-development reservoirs commonly exhibit high water-cut production and complex, dispersed remaining oil distributions with localized enrichment. Aggressively exploiting these reserves often compromises ultimate recovery and long-term reservoir sustainability. Conventional exploration methods face limitations in accurately characterizing such complex subsurface environments, necessitating more advanced and precise techniques for effective reservoir management. This study aims to develop and validate a refined reservoir mapping-while-drilling approach based on ultra-deep reservoir mapping services (UDRMS). The primary goal is to enable quantitative and strategic geosteering in complex reservoirs to enhance remaining oil recovery, support sustainable development, and mitigate drilling risks. This UDRMS uniquely combines a deep depth of detection (DOD, up to 30 m) with high vertical resolution (1 m). Which can bridge the scale gap between seismic interpretation and conventional well logs, enabling real-time construction and refinement of a detailed two-dimensional (2D) reservoir-scale profile while drilling. Key reservoir architectural elements-such as microstructure features, sand body geometry, connectivity, superposition patterns, and fluid contacts-were accurately delineated. The derived model was used to strategically guide both the landing and lateral sections of horizontal wells. Field applications in the Bohai Bay Basin demonstrated the effectiveness of this approach, yielding the following quantitative outcomes: (1) The well landing point was strategically adjusted upward by 9 m based on an accurately mapped Oil-Water Contact. (2) A heterogeneous lithological reservoir was successfully identified and salvaged under high-risk geological conditions. (3) Actual well performance exceeded expectations, increasing remaining oil recovery by 5-7.5%. (4) The refined 2D reservoir profile facilitated progressive extension of development into deeper and more challenging targets. The UDRMS-based refined reservoir mapping-while-drilling technique represents a significant advancement over conventional methods. It provides a reliable and strategic solution for enhancing recovery in mature and deep reservoirs, supporting sustainable development, and reducing uncertainty in complex formations.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-16
DOI
https://doi.org/10.1038/s41598-026-40240-z
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Refined reservoir mapping while drilling for a strategic exploitation of deep-development reservoirs

Botao Chang, Jintao Mao, Boqiang Wang, Wei Li et al.
Scientific Reports
Reservoir Engineering and Simulation Methods
article

Refined reservoir mapping while drilling for a strategic exploitation of deep-development reservoirs

Botao Chang, Jintao Mao, Boqiang Wang, Wei Li, Fei Wang, Xiuquan Hu, Binqi Zhang
article en

Abstract

Deep-development reservoirs commonly exhibit high water-cut production and complex, dispersed remaining oil distributions with localized enrichment. Aggressively exploiting these reserves often compromises ultimate recovery and long-term reservoir sustainability. Conventional exploration methods face limitations in accurately characterizing such complex subsurface environments, necessitating more advanced and precise techniques for effective reservoir management. This study aims to develop and validate a refined reservoir mapping-while-drilling approach based on ultra-deep reservoir mapping services (UDRMS). The primary goal is to enable quantitative and strategic geosteering in complex reservoirs to enhance remaining oil recovery, support sustainable development, and mitigate drilling risks. This UDRMS uniquely combines a deep depth of detection (DOD, up to 30 m) with high vertical resolution (1 m). Which can bridge the scale gap between seismic interpretation and conventional well logs, enabling real-time construction and refinement of a detailed two-dimensional (2D) reservoir-scale profile while drilling. Key reservoir architectural elements-such as microstructure features, sand body geometry, connectivity, superposition patterns, and fluid contacts-were accurately delineated. The derived model was used to strategically guide both the landing and lateral sections of horizontal wells. Field applications in the Bohai Bay Basin demonstrated the effectiveness of this approach, yielding the following quantitative outcomes: (1) The well landing point was strategically adjusted upward by 9 m based on an accurately mapped Oil-Water Contact. (2) A heterogeneous lithological reservoir was successfully identified and salvaged under high-risk geological conditions. (3) Actual well performance exceeded expectations, increasing remaining oil recovery by 5-7.5%. (4) The refined 2D reservoir profile facilitated progressive extension of development into deeper and more challenging targets. The UDRMS-based refined reservoir mapping-while-drilling technique represents a significant advancement over conventional methods. It provides a reliable and strategic solution for enhancing recovery in mature and deep reservoirs, supporting sustainable development, and reducing uncertainty in complex formations.

Scientific ReportsVol. 16(1)
Tianjin University of Commerce (CN), Tianjin Economic-Technological Development Area (CN), Chengdu University of Technology (CN)
National Natural Science Foundation of China, China National Offshore Oil Corporation
Openalex Percentile: Top 55%
Reservoir Engineering and Simulation Methods
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.