Trajectory Calculation for Complementing 3-D Well Path Planning in Geosteering Operations

Abstract Geosteering has an essential role in the wellbore’s placement in the pay zone, which significantly affects a well’s production life. Different geological boundaries and mechanical constraints guide the geosteering decision-making to plan a well trajectory inside the reservoir. Even though most geosteering studies are based on 2D models, the well trajectory is built in a 3D environment. Therefore, the present paper focuses on the geometrical design of the geosteering operations inside a boundary volume to reach a new wellbore position respecting a set true vertical depth (TVD), inclination, azimuth, and 3D curvature with the shortest path distance. Such distance is determined by stochastic simulations where a systematic disturbance in the rotary steerable system (RSS) and random and systematic errors from the environment are introduced. The results show that the proposed geosteering method can effectively determine the optimal path distance to achieve a wellbore position with the required confidence factor and acceptable tortuosity, regardless of whether planar or non-planar curves are used in the optimized planned path. The geosteering method relies on a 3D model designed to complement the well path generation in the existing geosteering models, assisting the application of steering commands for directional drillers (DDs) or drilling automation systems.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1115/omae2025-156845
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trajectory Calculation for Complementing 3-D Well Path Planning in Geosteering Operations

Dan Sui, Luis Saavedra Jerez, Eric Cayeux
Robotic Path Planning Algorithms
article

Trajectory Calculation for Complementing 3-D Well Path Planning in Geosteering Operations

Dan Sui, Luis Saavedra Jerez, Eric Cayeux
article en

Abstract

Abstract Geosteering has an essential role in the wellbore’s placement in the pay zone, which significantly affects a well’s production life. Different geological boundaries and mechanical constraints guide the geosteering decision-making to plan a well trajectory inside the reservoir. Even though most geosteering studies are based on 2D models, the well trajectory is built in a 3D environment. Therefore, the present paper focuses on the geometrical design of the geosteering operations inside a boundary volume to reach a new wellbore position respecting a set true vertical depth (TVD), inclination, azimuth, and 3D curvature with the shortest path distance. Such distance is determined by stochastic simulations where a systematic disturbance in the rotary steerable system (RSS) and random and systematic errors from the environment are introduced. The results show that the proposed geosteering method can effectively determine the optimal path distance to achieve a wellbore position with the required confidence factor and acceptable tortuosity, regardless of whether planar or non-planar curves are used in the optimized planned path. The geosteering method relies on a 3D model designed to complement the well path generation in the existing geosteering models, assisting the application of steering commands for directional drillers (DDs) or drilling automation systems.

Norwegian Public Roads Administration (NO), NORCE Research AS (NO), University of Stavanger (NO)
Openalex Percentile: Top 79%
Robotic Path Planning Algorithms
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.