Method for optimizing well drilling sequence of offshore cluster well group

A technology for sequence optimization and cluster wells, which is applied in the fields of instrumentation, data processing applications, prediction, etc., can solve the problem of difficulty in meeting the requirements of anti-collision and batch drilling, lack of evaluation indicators for drilling sequence optimization, lack of mathematical optimization models and efficient solution methods, etc. question

Active Publication Date: 2015-12-02
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF1 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional drilling sequence optimization methods for offshore cluster wells mainly have the following disadvantages: (1) There are only anti-collision and batch drilling optimization principles, and the drilling sequence is selected based on experience and manual; (2) The lack of evaluation indicators for drilling sequence optimization makes it difficult to Several "feasible solutions" are evaluated and optimized, and it is difficult to take into account the requirements of anti-collision and batch drilling; (3) lack of mathematical optimization models and efficient solution methods, when there are many wells to be drilled (not less than 10 wells), no "optimal solution" can be found. untie"

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for optimizing well drilling sequence of offshore cluster well group
  • Method for optimizing well drilling sequence of offshore cluster well group
  • Method for optimizing well drilling sequence of offshore cluster well group

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] With reference to the accompanying drawings, a method for optimizing the drilling sequence of an offshore cluster well group comprises the following steps:

[0051] (1) The wellbore trajectory design scheme of the entire well group is given, which includes all the design trajectory and wellhead groove parameters.

[0052] (2) Borehole interpolation analysis: The borehole interpolation method is used to perform interpolation calculations on all designed trajectories (the interpolation point spacing is 1.0m), and the interpolated trajectories are used to replace the original design trajectories.

[0053] (3) Coordinate transformation: transform all designed orbits into a coordinate system with a reference point (the center of the platform, or the center of a certain wellhead groove) as the origin. The coordinate conversion formula is shown in formula (6):

[0054] ΔN i =X i0 -X 0

[0055] ΔE i =Y i0 -Y 0

[0056] ΔD i = Z i0 -Z 0 (6)

[0057] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention discloses a method for optimizing a well drilling sequence of an offshore cluster well group. The method includes a well drilling sequence optimizing index, an optimizing model and a genetic algorithm solution, specially includes the steps as follows: presetting a well trajectory design scheme (containing wellhead groove parameters) of the whole well group; performing interpolation calculation (separation distance 1m), coordinate transformation, and minimum range sweep analysis for all designing trajectories; giving a measure error to all designing trajectories so as to calculate error ellipsoid parameters corresponding to all interpolating points; performing a well colliding risk analysis for the whole well group (calculating a well separation coefficient); building a well drilling sequence optimal object matrix and a mathematical programming model; solving the model by utilizing a genetic algorithm; and analyzing data by synthesis (giving consideration to a batch drilling requirement). The optimized well drilling sequence facilitates reducing the well colliding risk and an anti-colliding workload, facilitates saving a well drilling time and a well drilling cost by utilizing the batch well drilling method, and satisfies the requirement for optimizing the drilling sequence of the offshore large-scale cluster well group.

Description

technical field [0001] The invention relates to the field of offshore oil drilling engineering, in particular to a method for optimizing the drilling sequence of a large offshore cluster well group. Background technique [0002] There are many offshore cluster wells to be drilled and the wellhead spacing is small. Optimizing the drilling sequence is of great significance to both development and drilling. It not only helps to confirm reserves and reservoirs, reduces development risks, but also helps to prevent collisions and batch drilling homework, saving platform time. When the development department does not specify the drilling sequence, the drilling department mainly optimizes the drilling sequence based on anti-collision and batch drilling requirements. Existing literature only gives the principle of drilling sequence optimization, but has not given the corresponding optimization index and optimization model. For example, when considering anti-collision requirements, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02
Inventor 史玉才薛磊管志川廖华林席传明初众张晨苗在强
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products