Directional well trajectory planning, which includes the optimization of the drilling site location and the trajectory between the drilling site to the completion interval, plays an important role in reducing subsea field development cost. The traditional well trajectory planning methods are based on the projected 2D profile of the wellbore trajectory with empirical knowledge or trial-and-error method to select a proper drilling site. In this study, we propose a new efficient optimization method based on the 3D Dubins curve, which has been widely used in autopilot for path planning but has never been mentioned in drilling industry. In short, we use gradient descent method to find the best drilling site location while adopting the 3D Dubins ...
This paper introduces a software package that uses a genetic algorithm to find the optimum drilling ...
The location-allocation problem of manifolds, which is a part of subsea field layout optimization, d...
In this work we apply a recently developed machine learning routine for automatic well planning to s...
This study proposes an efficient method to optimize the subsea field layout with the aim of minimizi...
This study focuses on building a systematic method for the subsea field layout optimization with the...
SummaryDrilling operations are a significant cost in the process of recovering hydrocarbons. The ope...
SummaryDrilling operations are a significant cost in the process of recovering hydrocarbons. The ope...
To achieve efficient recovery of subsurface energy resources, a suitable trajectory needs to be iden...
It is known from the media that Equinor is trying a new generation of unmanned wellhead platforms on...
Delineating the well placement and trajectory of production or injection wells is an important step ...
Optimizing the trajectory of directional wellbores is essential to minimize drilling costs and the i...
Nowadays, optimization of field development projects in a cost-efficient way is one of the crucial t...
In order to design a correction wellpath with minimum energy to bring a deviated path to designed we...
An Automatic Well Planner (AWP) is used to efficiently adjust pre-determined well paths to honor nea...
This paper introduces a software package that uses a genetic algorithm to find the optimum drilling ...
This paper introduces a software package that uses a genetic algorithm to find the optimum drilling ...
The location-allocation problem of manifolds, which is a part of subsea field layout optimization, d...
In this work we apply a recently developed machine learning routine for automatic well planning to s...
This study proposes an efficient method to optimize the subsea field layout with the aim of minimizi...
This study focuses on building a systematic method for the subsea field layout optimization with the...
SummaryDrilling operations are a significant cost in the process of recovering hydrocarbons. The ope...
SummaryDrilling operations are a significant cost in the process of recovering hydrocarbons. The ope...
To achieve efficient recovery of subsurface energy resources, a suitable trajectory needs to be iden...
It is known from the media that Equinor is trying a new generation of unmanned wellhead platforms on...
Delineating the well placement and trajectory of production or injection wells is an important step ...
Optimizing the trajectory of directional wellbores is essential to minimize drilling costs and the i...
Nowadays, optimization of field development projects in a cost-efficient way is one of the crucial t...
In order to design a correction wellpath with minimum energy to bring a deviated path to designed we...
An Automatic Well Planner (AWP) is used to efficiently adjust pre-determined well paths to honor nea...
This paper introduces a software package that uses a genetic algorithm to find the optimum drilling ...
This paper introduces a software package that uses a genetic algorithm to find the optimum drilling ...
The location-allocation problem of manifolds, which is a part of subsea field layout optimization, d...
In this work we apply a recently developed machine learning routine for automatic well planning to s...