CN117703344A - Drilling parameter adjusting method based on data analysis - Google Patents

Drilling parameter adjusting method based on data analysis Download PDF

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CN117703344A
CN117703344A CN202410140119.2A CN202410140119A CN117703344A CN 117703344 A CN117703344 A CN 117703344A CN 202410140119 A CN202410140119 A CN 202410140119A CN 117703344 A CN117703344 A CN 117703344A
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speed
drilling
adjusting
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adjustment
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CN117703344B (en
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冯梅
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Chengdu Sany Energy Environmental Protection Technology Co ltd
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Abstract

The invention discloses a drilling parameter adjusting method based on data analysis, which belongs to the technical field of drilling parameter adjustment.

Description

Drilling parameter adjusting method based on data analysis
Technical Field
The invention relates to the technical field of drilling parameter adjustment, in particular to a drilling parameter adjustment method based on data analysis.
Background
During the drilling of the drilling instrument, the drilling progress speed is not directly controlled, but is influenced by adjusting other parameters, and important parameters related to the drilling progress speed include: the pump pressure, the bit pressure and the water hole are regulated in real time, so that the drilling advancing speed is faster.
In the prior art, when the speed of a drilling instrument is regulated, only the drilling tool of the drill bit is controlled, so that the advancing speed of drilling can be improved, but the advancing speed of drilling cannot reach the advancing speed of a drilling target by singly controlling the drilling tool of the drill bit.
Disclosure of Invention
Aiming at the defects in the prior art, the drilling parameter adjusting method based on data analysis solves the problems that in the prior art, only the drilling tool of a drill bit is controlled, the forward speed of drilling is adjusted, and the forward speed of drilling cannot reach the forward speed of a drilling target.
In order to achieve the aim of the invention, the invention adopts the following technical scheme: a method for adjusting drilling parameters based on data analysis, comprising the steps of:
s1, establishing a target speed prediction model according to soil hardness, soil viscosity and drilling depth, and determining a drilling target advancing speed;
s2, calculating the real-time drilling advancing speed according to the speed of the drill bit;
s3, establishing a drilling control model according to the speed difference between the real-time drilling advancing speed and the drilling target advancing speed;
s4, training the drilling control model according to the speed adjustment time to obtain a drilling control model after training;
s5, adjusting the pump pressure, the bit pressure and the water hole by adopting a well drilling control model which is completed through training.
The beneficial effects of the invention are as follows: according to the method, firstly, the advancing speed of a drilling target is calculated according to the soil hardness, the soil viscosity and the drilling depth, a drilling control model is built according to the speed difference between the advancing speed of the drilling target and the real-time advancing speed of drilling, the drilling control model is trained, the drilling control model has coefficients meeting time requirements, and the trained drilling control model is used for adjusting the pump pressure, the drilling pressure and the water hole to compensate the speed difference. The method of the invention is to further increase the drilling advancing speed by using the method of the invention under the condition that the drilling advancing speed can not be increased or is increased very slowly after the speed of the drill bit is adjusted to reach the target drill bit speed. The invention solves the problems that in the prior art, only the drilling tool of the drill bit is controlled, the forward speed of the drilling well is regulated, and the forward speed of the drilling well cannot reach the forward speed of the drilling well target.
Further, the target speed prediction model in S1 is:
wherein V is O To the drilling target advancing speed, x 1 Is the hardness of soil, x 2 Is of earth viscosity, x 3 For the drilling depth, w 1 Is the hardness x of the soil 1 Weights, w 2 Is of soil viscosity x 2 Weights, w 3 For the drilling depth x 3 Sigma is a sigmoid function.
The beneficial effects of the above further scheme are: the invention considers the soil hardness, the soil viscosity and the drilling depth, thereby estimating the drilling target advancing speed.
Further, the formula for calculating the drilling real-time advancing speed in the step S2 is as follows:
wherein V is t For drilling real-time advancing speed, V Z E is the back pressure of the drill string, E is the error scaling factor, which is the speed of the drill bit.
Further, the drilling control model in S3 includes: the device comprises a speed distribution unit, a pump pressure adjusting unit, a bit pressure adjusting unit and a water hole adjusting unit;
the speed distribution unit is used for distributing the speed difference to obtain a first speed adjustment quantity, a second speed adjustment quantity and a third speed adjustment quantity;
the pump pressure adjusting unit is used for adjusting the pump pressure according to the first speed adjusting quantity;
the weight on bit adjusting unit is used for adjusting the weight on bit according to the second speed adjusting quantity;
the water hole adjusting unit is used for adjusting the water hole according to the third speed adjusting quantity.
Further, the first speed adjustment amount is V 1 =αV d The second speed adjustment is V 2 =βV d The third speed adjusting quantity is V 3 =γV d ,V 1 For the first speed adjustment, V 2 For the second speed adjustment, V 3 For the third speed adjustment, α is the first speed scaling factor, β is the second speed scaling factor, γ is the third speed scaling factor, V d For the speed gap, α+β+γ=1.
The beneficial effects of the above further scheme are: the speed distribution unit is used for distributing the speed difference, and distributing different speed adjustment amounts to the pump pressure adjustment unit, the bit pressure adjustment unit and the water hole adjustment unit, so that the pump pressure adjustment, the bit pressure adjustment and the water hole adjustment are matched, and the speed difference is compensated.
Further, the expression of the pump pressure adjusting unit is:
wherein P is b,t For pumping at time t, P b,t-1 For pumping at time t-1, c b For pumping pressure adjustment factor, P b,max For maximum pump pressure, P b,min For minimum pump pressure, tanh is the hyperbolic tangent activation function, V 1 Is a first speed adjustment amount;
the expression of the weight on bit regulating unit is as follows:
wherein P is z,t Is the bit pressure at the t moment, P z,t-1 Is the weight on bit at time t-1, c z For weight on bit adjustment factor, P z,max At maximum weight on bit, P z,min To minimum weight on bit, V 2 Is a second speed adjustment;
the expression of the water eye adjusting unit is as follows:
wherein P is s,t Is the water eye pressure at the t moment, P s,t-1 Is the water eye pressure at the t-1 time, c s Is the water eye adjusting coefficient, P s,max At maximum water eye pressure, P s,min To minimum water eye pressure, V 3 Is the third speed adjustment.
The beneficial effects of the above further scheme are: according to the speed regulating quantity respectively distributed, the invention carries out the regulation of the pump pressure, the bit pressure and the intraocular pressure according to proportion, realizes the self-adaptive control of the pressure according to the speed regulating quantity with different sizes, and sets three regulating coefficients c b 、c z 、c s The pressure is flexibly adjusted.
Further, the step S4 includes the following sub-steps:
s41 pair coefficient sequence { alpha, beta, gamma, c } b , c z , c s Assigning an initial value to each element in the sequence;
s42, counting the time for adjusting the drilling advancing speed from the current drilling real-time advancing speed to the drilling target advancing speed by adopting the current drilling control model, and obtaining the speed adjusting time;
s43, judging whether the speed adjustment time is lower than a time threshold, if yes, completing drilling control model training, and if not, jumping to a step S44;
s44, performing crossing and mutation processing on the coefficient sequences according to the speed adjusting time, and jumping to the step S42.
The beneficial effects of the above further scheme are: when the drilling control model is used for adjusting the advancing speed of drilling, the adjusting time is required to be lower than a time threshold, so that the drilling control model can be adjusted quickly and is stable on the whole system, and therefore, elements in a coefficient sequence are updated by adopting intersection and variation in a GA genetic algorithm, and coefficients meeting the time requirement are continuously searched.
Further, the probability formula of the intersection in S44 is:
where g is the probability of the current crossing, g max G is the maximum crossover probability min For minimum crossover probability, arctan is an arctangent function, T is speed adjustment time, T o Is a time threshold.
Further, the probability formula of the variation in S44 is:
wherein b is the probability of the current variation, b max For maximum mutation probability, b min For minimum variation probability, arctan is the arctan function, T is the speed adjustment time, T o Is a time threshold.
The beneficial effects of the above further scheme are: the probability of crossing and the probability of variation in the invention are changed according to the difference value of the speed adjusting time and the time threshold value, and when the difference is larger, the probability of crossing and the probability of variation are larger, so that the element variation in the coefficient sequence is larger, and the process of finding a proper coefficient is accelerated.
Drawings
FIG. 1 is a flow chart of a method of drilling parameter adjustment based on data analysis.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in fig. 1, a drilling parameter adjusting method based on data analysis includes the following steps:
s1, establishing a target speed prediction model according to soil hardness, soil viscosity and drilling depth, and determining a drilling target advancing speed;
s2, calculating the real-time drilling advancing speed according to the speed of the drill bit;
s3, establishing a drilling control model according to the speed difference between the real-time drilling advancing speed and the drilling target advancing speed;
s4, training the drilling control model according to the speed adjustment time to obtain a drilling control model after training;
s5, adjusting the pump pressure, the bit pressure and the water hole by adopting a well drilling control model which is completed through training.
The method of the invention is that after the speed of the drill bit is regulated to reach the target drill bit speed, the drill bit speed is regulated, and under the condition that the drilling advancing speed can not be increased or is increased very slowly, the drilling advancing speed is further increased by using the method of the invention, namely the method of the invention is suitable for regulating the speed of the drill bit firstly and then when the drill bit speed reaches a certain degree.
In this embodiment, steps S1 to S4 are the construction process of the drilling control model, and S5 is the application process of the drilling control model.
The target speed prediction model in the S1 is as follows:
wherein V is O To the drilling target advancing speed, x 1 Is the hardness of soil, x 2 Is of earth viscosity, x 3 For the drilling depth, w 1 Is the hardness x of the soil 1 Weights, w 2 Is of soil viscosity x 2 Weights, w 3 For the drilling depth x 3 Sigma is a sigmoid function.
The invention considers the soil hardness, the soil viscosity and the drilling depth, thereby estimating the drilling target advancing speed.
The weight w in the invention 1 、w 2 And w 3 Can be trained by gradient descent method.
The formula for calculating the drilling real-time advancing speed in the S2 is as follows:
wherein V is t For drilling real-time advancing speed, V Z E is the back pressure of the drill string, E is the error scaling factor, which is the speed of the drill bit.
The drilling control model in S3 includes: the device comprises a speed distribution unit, a pump pressure adjusting unit, a bit pressure adjusting unit and a water hole adjusting unit;
the speed distribution unit is used for distributing the speed difference to obtain a first speed adjustment quantity, a second speed adjustment quantity and a third speed adjustment quantity;
the pump pressure adjusting unit is used for adjusting the pump pressure according to the first speed adjusting quantity;
the weight on bit adjusting unit is used for adjusting the weight on bit according to the second speed adjusting quantity;
the water hole adjusting unit is used for adjusting the water hole according to the third speed adjusting quantity.
The speed difference in the invention is the difference between the drilling target advancing speed and the drilling real-time advancing speed.
The first speed adjustment amount is V 1 =αV d The second speed adjustment is V 2 =βV d The third speed adjusting quantity is V 3 =γV d ,V 1 For the first speed adjustment, V 2 For the second speed adjustment, V 3 For the third speed adjustment, α is the first speed scaling factor, β is the second speed scaling factor, γ is the third speed scaling factor, V d For the speed gap, α+β+γ=1.
The speed distribution unit is used for distributing the speed difference, and distributing different speed adjustment amounts to the pump pressure adjustment unit, the bit pressure adjustment unit and the water hole adjustment unit, so that the pump pressure adjustment, the bit pressure adjustment and the water hole adjustment are matched, and the speed difference is compensated.
The expression of the pump pressure regulating unit is as follows:
wherein P is b,t For pumping at time t, P b,t-1 For pumping at time t-1, c b For pumping pressure adjustment factor, P b,max For maximum pump pressure, P b,min For minimum pump pressure, tanh is the hyperbolic tangent activation function, V 1 Is a first speed adjustment amount;
the expression of the weight on bit regulating unit is as follows:
wherein P is z,t Is the bit pressure at the t moment, P z,t-1 Is the weight on bit at time t-1, c z For weight on bit adjustment factor, P z,max At maximum weight on bit, P z,min To minimum weight on bit, V 2 Is a second speed adjustment;
the expression of the water eye adjusting unit is as follows:
wherein P is s,t Is the water eye pressure at the t moment, P s,t-1 Is the water eye pressure at the t-1 time, c s Is the water eye adjusting coefficient, P s,max At maximum water eye pressure, P s,min To minimum water eye pressure, V 3 Is the third speed adjustment.
According to the speed regulating quantity respectively distributed, the invention carries out the regulation of the pump pressure, the bit pressure and the intraocular pressure according to proportion, realizes the self-adaptive control of the pressure according to the speed regulating quantity with different sizes, and sets three regulating coefficients c b 、c z 、c s The pressure is flexibly adjusted.
The step S4 comprises the following substeps:
s41 pair coefficient sequence { alpha, beta, gamma, c } b , c z , c s Assigning an initial value to each element in the sequence;
s42, counting the time for adjusting the drilling advancing speed from the current drilling real-time advancing speed to the drilling target advancing speed by adopting the current drilling control model, and obtaining the speed adjusting time;
s43, judging whether the speed adjustment time is lower than a time threshold, if yes, completing drilling control model training, and if not, jumping to a step S44;
s44, performing crossing and mutation processing on the coefficient sequences according to the speed adjusting time, and jumping to the step S42.
When the drilling control model is used for adjusting the advancing speed of drilling, the adjusting time is required to be lower than a time threshold, so that the drilling control model can be adjusted quickly and is stable on the whole system, and therefore, elements in a coefficient sequence are updated by adopting intersection and variation in a GA genetic algorithm, and coefficients meeting the time requirement are continuously searched.
The probability formula of the intersection in S44 is:
where g is the probability of the current crossing, g max G is the maximum crossover probability min For minimum crossover probability, arctan is an arctangent function, T is speed adjustment time, T o Is a time threshold.
The probability formula of the variation in S44 is:
wherein b is the probability of the current variation, b max For maximum mutation probability, b min For minimum variation probability, arctan is the arctan function, T is the speed adjustment time, T o Is a time threshold.
The probability of crossing and the probability of variation in the invention are changed according to the difference value of the speed adjusting time and the time threshold value, and when the difference is larger, the probability of crossing and the probability of variation are larger, so that the element variation in the coefficient sequence is larger, and the process of finding a proper coefficient is accelerated.
According to the method, firstly, the advancing speed of a drilling target is calculated according to the soil hardness, the soil viscosity and the drilling depth, a drilling control model is built according to the speed difference between the advancing speed of the drilling target and the real-time advancing speed of drilling, the drilling control model is trained, the drilling control model has coefficients meeting time requirements, and the trained drilling control model is used for adjusting the pump pressure, the drilling pressure and the water hole to compensate the speed difference.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A method for adjusting drilling parameters based on data analysis, comprising the steps of:
s1, establishing a target speed prediction model according to soil hardness, soil viscosity and drilling depth, and determining a drilling target advancing speed;
s2, calculating the real-time drilling advancing speed according to the speed of the drill bit;
s3, establishing a drilling control model according to the speed difference between the real-time drilling advancing speed and the drilling target advancing speed;
s4, training the drilling control model according to the speed adjustment time to obtain a drilling control model after training;
s5, adjusting the pump pressure, the bit pressure and the water hole by adopting a well drilling control model which is completed through training.
2. The method for adjusting drilling parameters based on data analysis according to claim 1, wherein the target speed prediction model in S1 is:
wherein V is O To the drilling target advancing speed, x 1 Is the hardness of soil, x 2 Is of earth viscosity, x 3 For the drilling depth, w 1 Is the hardness x of the soil 1 Weights, w 2 Is of soil viscosity x 2 Weights, w 3 For the drilling depth x 3 Sigma is a sigmoid function.
3. The method for adjusting drilling parameters based on data analysis according to claim 1, wherein the formula for calculating the real-time drilling progress speed in S2 is:
wherein V is t For drilling real-time advancing speed, V Z E is the back pressure of the drill string, E is the error scaling factor, which is the speed of the drill bit.
4. The method for adjusting drilling parameters based on data analysis according to claim 1, wherein the drilling control model in S3 comprises: the device comprises a speed distribution unit, a pump pressure adjusting unit, a bit pressure adjusting unit and a water hole adjusting unit;
the speed distribution unit is used for distributing the speed difference to obtain a first speed adjustment quantity, a second speed adjustment quantity and a third speed adjustment quantity;
the pump pressure adjusting unit is used for adjusting the pump pressure according to the first speed adjusting quantity;
the weight on bit adjusting unit is used for adjusting the weight on bit according to the second speed adjusting quantity;
the water hole adjusting unit is used for adjusting the water hole according to the third speed adjusting quantity.
5. The method for data analysis based drilling parameter adjustment of claim 4, wherein the first speed adjustment is V 1 =αV d The second speed adjustment is V 2 =βV d The third speed adjusting quantity is V 3 =γV d ,V 1 For the first speed adjustment, V 2 For the second speed adjustment, V 3 For the third speed adjustment, α is the first speed scaling factor, β is the second speed scaling factor, γ is the third speed scaling factor, V d For the speed gap, α+β+γ=1.
6. The data analysis based drilling parameter tuning method of claim 5, wherein the expression of the pump pressure tuning unit is:
wherein P is b,t For pumping at time t, P b,t-1 For pumping at time t-1, c b For pumping pressure adjustment factor, P b,max For maximum pump pressure, P b,min For minimum pump pressure, tanh is the hyperbolic tangent activation function, V 1 Is a first speed adjustment amount;
the expression of the weight on bit regulating unit is as follows:
wherein P is z,t Is the bit pressure at the t moment, P z,t-1 Is the weight on bit at time t-1, c z For weight on bit adjustment factor, P z,max At maximum weight on bit, P z,min To minimum weight on bit, V 2 Is a second speed adjustment;
the expression of the water eye adjusting unit is as follows:
wherein P is s,t Is the water eye pressure at the t moment, P s,t-1 Is the water eye pressure at the t-1 time, c s Is the water eye adjusting coefficient, P s,max Is the maximum intraocular pressureForce, P s,min To minimum water eye pressure, V 3 Is the third speed adjustment.
7. The method for adjusting drilling parameters based on data analysis according to claim 6, wherein S4 comprises the following sub-steps:
s41 pair coefficient sequence { alpha, beta, gamma, c } b , c z , c s Assigning an initial value to each element in the sequence;
s42, counting the time for adjusting the drilling advancing speed from the current drilling real-time advancing speed to the drilling target advancing speed by adopting the current drilling control model, and obtaining the speed adjusting time;
s43, judging whether the speed adjustment time is lower than a time threshold, if yes, completing drilling control model training, and if not, jumping to a step S44;
s44, performing crossing and mutation processing on the coefficient sequences according to the speed adjusting time, and jumping to the step S42.
8. The method for adjusting drilling parameters based on data analysis according to claim 7, wherein the probability formula of the intersection in S44 is:
where g is the probability of the current crossing, g max G is the maximum crossover probability min For minimum crossover probability, arctan is an arctangent function, T is speed adjustment time, T o Is a time threshold.
9. The method for adjusting drilling parameters based on data analysis according to claim 7, wherein the probability formula of variation in S44 is:
wherein b is the current variationProbability b max For maximum mutation probability, b min For minimum variation probability, arctan is the arctan function, T is the speed adjustment time, T o Is a time threshold.
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