Horizontal well cuttings bed processing method and device
Abstract
The present disclosure discloses a horizontal well cuttings bed processing method and device. The method includes: based on drilling engineering information of a horizontal well, predicting a distribution pattern of a cuttings bed throughout a drilling process, determining a cuttings bed height risk level in each well section, and outputting a cuttings bed removal solution associated with the well section. According to the present disclosure, processing accuracy and processing efficiency of the cuttings bed in a horizontal well can be improved, and accumulation of the cuttings bed in the horizontal well can be effectively resolved.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A horizontal well cuttings bed processing method, comprising:
predicting a distribution pattern of the cuttings bed throughout a drilling process based on drilling engineering information of the horizontal well, wherein the distribution pattern of the cuttings bed throughout the drilling process is used for describing predicted cuttings accumulation and remove of the cuttings bed in each well section; predicting a running position of a cuttings cleaning tool for each well section based on the distribution pattern of the cuttings bed throughout the drilling process; calculating an actual cuttings bed height in each well section based on logging data during the drilling process; correcting the predicted running position of the cuttings cleaning tool for each well section based on the actual cuttings bed height in each well section, to obtain correction data of the running position of the cuttings cleaning tool for each well section; determining a cuttings bed height risk level in each well section based on a percentage of drilled returned cuttings, a deflection degree of drilled cuttings particle size distribution, and a change rate of a drilling hook load in the drilling process; associating different cuttings bed height risk levels with different cuttings bed removal solutions; and for each well section, outputting the correction data of the running position of the cuttings cleaning tool for the well section and a cuttings bed removal solution associated with the cuttings bed height risk level for the well section.
2 . The method according to claim 1 , wherein the predicting a distribution pattern of the cuttings bed throughout a drilling process based on drilling engineering information of the horizontal well comprises:
based on a finite volume method and in combination with the drilling engineering information, calculating and simulating a drilling time axis, to obtain the predicted distribution pattern of the cuttings bed throughout the drilling process.
3 . The method according to claim 1 , wherein the predicting a running position of a cuttings cleaning tool for each well section based on the distribution pattern of the cuttings bed throughout the drilling process comprises:
performing arrangement of the cuttings cleaning tool for cuttings deposition in key well sections based on the distribution pattern of the cuttings bed throughout the drilling process predicted before drilling, and predicting the running position of the cuttings cleaning tool for each well section.
4 . The method according to claim 1 , wherein the logging data comprises: one or any combination of a well depth, a drilling rate, a drilling liquid density, a pump pressure, a discharge, a wellbore structure, a well trajectory, a drill assembly, a percentage of returned cuttings, cuttings particle size distribution, and a hook load change.
5 . The method according to claim 1 , wherein the determining a cuttings bed height risk level in each well section based on a percentage of drilled returned cuttings, a deflection degree of drilled cuttings particle size distribution, and a change rate of a drilling hook load in the drilling process comprises:
pre-establishing a cuttings bed height risk matrix, wherein the cuttings bed height risk matrix takes an initial change rate of a drilling hook load as an abscissa, an initial deflection degree of drilled cuttings particle size distribution as an ordinate, and an initial percentage of returned cuttings as a matrix size; dividing the cuttings bed height risk matrix, and determining the cuttings bed height risk level associated with each divided cuttings bed height risk matrix; and matching the percentage of the drilled returned cuttings, the deflection degree of the drilled cuttings particle size distribution, and the change rate of the drilling hook load in the drilling process with each divided cuttings bed height risk matrix, to obtain the cuttings bed height risk level in each well section.
6 . The method according to claim 1 , wherein the associating different cuttings bed height risk levels with different cuttings bed removal solutions comprises:
associating a low cuttings bed height risk level with a cuttings bed removal solution in which a drilling liquid discharge is increased; associating a medium cuttings bed height risk level with a cuttings bed removal solution in which the drilling liquid discharge and a turntable rotational speed are increased; associating a high cuttings bed height risk level with a cuttings bed removal solution for reverse sliding into the wellbore; and associating an emergent cuttings bed height risk level with a cuttings bed removal solution in which a rheological property of the drilling liquid is adjusted.
7 . A computer equipment, comprising a memory, a processor, and a computer program stored in the memory and runnable on the processor, wherein when the processor executes the computer program, the method according to claim 1 is implemented.
8 . A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to claim 1 is implemented.Join the waitlist — get patent alerts
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