CN108694459B - Drilling scheme optimization method based on virtual simulation - Google Patents

Drilling scheme optimization method based on virtual simulation Download PDF

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CN108694459B
CN108694459B CN201710227321.9A CN201710227321A CN108694459B CN 108694459 B CN108694459 B CN 108694459B CN 201710227321 A CN201710227321 A CN 201710227321A CN 108694459 B CN108694459 B CN 108694459B
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杨传书
刘建立
李昌盛
孙旭
潘堤
付宣
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China Petroleum and Chemical Corp
Sinopec Research Institute of Petroleum Engineering
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Abstract

The invention provides a drilling scheme optimization method based on virtual simulation, and belongs to the field of oil and gas well drilling. The method comprises the steps of firstly obtaining the mechanical drilling rate data of the whole well section and the drilling risk grade data of the whole well section of each scheme, and respectively calculating the comprehensive risk coefficient R of the nth schemenMean time to penetration coefficient T of the nth set of solutionsnPreferred coefficient of the nth set of solutions Sn＝Rn+TnThe preferred coefficients S of the N schemesnIs subjected to sorting, wherein SnThe scheme corresponding to the minimum is the optimal scheme. The method can be used in the design stage of the drilling scheme, and designers can use the method to perform simulation, comparison and optimization aiming at different design schemes, so that the whole set of design scheme achieves the optimum in the aspects of risk control and drilling efficiency.

Description

Drilling scheme optimization method based on virtual simulation
Technical Field
The invention belongs to the field of oil and gas well drilling, and particularly relates to a drilling scheme optimization method based on virtual simulation.
Background
The petroleum and natural gas drilling is an underground concealed project, is compared with the natural difficulty in the ground, and particularly has a great number of problems of heterogeneity, uncertainty, non-structure and non-numeralization when complex structure wells, ultra-deep wells, ultra-large displacement wells and special process wells are drilled under complex geological conditions and the limit is exceeded.
In the prior art, either drilling ground equipment is simulated or a specific simulation scene animation is pre-solidified in software for training, and simulation preview of the drilling underground state and process cannot be realized based on drilling design data driving. Because the whole well is as deep as thousands of meters, different levels of risks (the lower the risk level is, the better) and different drilling rates (the higher the drilling rate is, the better) may exist in each depth, and the two indexes sometimes cannot be optimal simultaneously, a set of scheme is selected to give consideration to the two indexes, and the whole well optimal scheme is difficult to select completely through manual decision making and is not accurate enough.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a drilling scheme optimization method based on virtual simulation.
The invention is realized by the following technical scheme:
a virtual simulation-based drilling plan optimization method, comprising:
step 0: supposing that an optimal scheme needs to be selected from N sets of schemes, firstly, respectively obtaining the mechanical drilling rate data of the whole well section and the drilling risk level data of the whole well section of each set of scheme;
step 1, setting scheme number n as 1, initializing optimization coefficient Sn＝2；
Step 2, setting each timeMaximum cumulative well length H allowed for individual level riskipWherein i is a risk level;
step 3, judging whether N is equal to or less than N, if so, turning to step 4, and if not, turning to step 10;
step 4, aiming at the nth set of scheme, respectively calculating the sum H of the lengths of the well sections with risks of all levelsi；
Step 5, if any one HiSatisfy Hi>HipIf n is equal to n +1, go to step 3; otherwise, turning to step 6;
step 6, calculating the comprehensive risk coefficient R of the nth schemen；
Step 7, calculating the average drilling time coefficient T of the nth schemen；
Step 8, calculating the optimal coefficient S of the nth schemen＝Rn+Tn；
Step 9, turning to step 3 when n is equal to n + 1;
step 10, optimizing coefficients S of N schemesnSorting is carried out to find the minimum SnAnd the corresponding scheme is the optimal scheme.
The mechanical drilling rate data in the step 0 comprise the mechanical drilling rate and the corresponding well section length section by section from the well head to the well bottom; the drilling risk level data of the whole well section comprises a risk level i section by section from the well head to the well bottom and the corresponding well section length.
In step 2, the risk level i is 1,2,3,4, 5.
The step 4 is realized by the following steps:
for the nth set of solutions, use is made of
Figure BDA0001265530660000021
Respectively calculating the sum H of the lengths of the well sections with the risks of all levelsiIn the formula: j represents the serial number of each well section in the ith level risk, hijFor the J well section length with i-th risk, assuming that there is J section with i-th risk, HiIs the sum of the lengths of all well sections at the i-th risk.
The step 6 is realized by:
by using
Figure BDA0001265530660000031
Calculating the comprehensive risk coefficient R of the nth schemenIn the formula: k is a radical ofiWeight coefficient, k, for the i-th riski∈[0,1]And H is the designed well depth of the well, and the unit is m.
The step 7 is realized by:
by Tn＝(∑Hk/vk) Calculating the average time-to-drill coefficient T of the nth scheme by the aid of/5HnIn the formula: hkLength of the well section in m, v units of the kth rate of penetrationkThe k-th mechanical drilling speed is expressed in m/h.
Compared with the prior art, the invention has the beneficial effects that: the method can be used in the design stage of the drilling scheme, and designers can use the method to perform simulation, comparison and optimization aiming at different design schemes, so that the whole set of design scheme achieves the optimum in the aspects of risk control and drilling efficiency.
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FIG. 1 is a block diagram of the steps of the method of the present invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
the invention designs a drilling scheme optimization method based on virtual simulation, which respectively calculates the comprehensive risk coefficient and the drilling time coefficient of the whole well by utilizing the risk level and the mechanical drilling speed of each well section calculated in a simulation system, and finally calculates the optimization coefficient S of each drilling design schemen，SnThe smallest will be automatically selected as the optimal solution.
The steps of the method of the invention are shown in fig. 1, and comprise:
step 0: supposing that an optimal scheme needs to be selected from N sets of schemes, firstly, respectively obtaining the mechanical drilling rate data of the whole well section and the drilling risk level data of the whole well section of each set of scheme; the drilling speed of the machine is gradually increased from the well head to the well bottom, and the length of the corresponding well section is increased; the drilling risk level data of the whole well section comprises a risk level i section by section from a well head to a well bottom and a corresponding well section length;
step 1, setting scheme number n as 1, initializing optimization coefficient Sn＝2；
Step 2, setting the maximum accumulated well length H allowed by each level riskipWhere i is risk level 1,2,3,4,5, e.g., H when i is 33pThe maximum cumulative well length allowed for level 3 risk is indicated. If the actual segment length H of the risk segmentiGreater than the allowable value HipI.e. Hi>HipThen the scheme is excluded; if a certain H is to be assignedipA setting of 99999, which is a length that is impossible to reach at any risk, means that no exclusion is made; if a certain H is to be assignedipSet to 0, this means to be excluded;
step 3, judging whether N is equal to or less than N, if true, turning to step 4, and if false, turning to step 10;
step 4, aiming at the nth set of scheme, respectively calculating the sum of the lengths of the well sections with risks of all levels
Figure BDA0001265530660000041
In the formula: i is risk level, 1,2,3,4,5, j is the serial number of each well section in the ith level risk, hijFor the J well section length with i-th risk, assuming that there is J section with i-th risk, HiIs the sum of the lengths of all well sections in the ith level of risk;
step 5, if any one HiSatisfies the condition set in step 2, i.e. Hi>HipIf n is equal to n +1, go to step 3; otherwise, turning to step 6;
step 6, calculating the comprehensive risk coefficient of the nth scheme
Figure BDA0001265530660000042
In the formula: i is the risk class, kiWeight coefficient, k, for the i-th riski∈[0,1]，(kiIs a set value, kiA larger i-th risk means a larger influence on the final result, and generally, a larger i sets kiShould be larger), H is the design well depth for the well in m;
step 7, calculating the average drilling time coefficient of the nth scheme
Tn＝(∑Hk/vk)/5H
In the formula: hkLength of the well section in m, v units of the kth rate of penetrationkThe kth mechanical drilling speed is in the unit of m/h;
step 8, calculating the optimal coefficient S of the nth schemen＝Rn+Tn；
Step 9, turning to step 3 when n is equal to n + 1;
step 10, optimizing coefficients S of N schemesnIs subjected to sorting, wherein SnThe scheme corresponding to the minimum is the optimal scheme.
The risk level, the rate of penetration and related parameters used by the method can be calculated by the existing method.
The method can carry out virtual simulation before drilling aiming at multiple alternative drilling design schemes, and the optimal scheme meeting the preset conditions is selected preferably based on the risk calculated by simulation and the mechanical drilling speed parameter.
The above-described embodiment is only one embodiment of the present invention, and it will be apparent to those skilled in the art that various modifications and variations can be easily made based on the application and principle of the present invention disclosed in the present application, and the present invention is not limited to the method described in the above-described embodiment of the present invention, so that the above-described embodiment is only preferred, and not restrictive.

Claims (4)

1. A drilling scheme optimization method based on virtual simulation is characterized by comprising the following steps: the method comprises the following steps:
step 0: supposing that an optimal scheme needs to be selected from N sets of schemes, firstly, respectively obtaining the mechanical drilling rate data of the whole well section and the drilling risk level data of the whole well section of each set of scheme;
step 1, setting scheme number n as 1, initializing optimization coefficient Sn＝2；
Step 2, setting the maximum accumulated well length H allowed by each level riskipWherein i is a risk level;
step 3, judging whether N is equal to or less than N, if so, turning to step 4, and if not, turning to step 10;
step 4, aiming at the nth set of scheme, respectively calculating the sum H of the lengths of the well sections with risks of all levelsi；
Step 5, if any one HiSatisfy Hi>HipIf n is equal to n +1, go to step 3; otherwise, turning to step 6;
step 6, calculating the comprehensive risk coefficient R of the nth schemen: by using
Figure FDA0003216779220000011
Calculating the comprehensive risk coefficient R of the nth schemenIn the formula: k is a radical ofiWeight coefficient, k, for the i-th riski∈[0,1]H is the designed well depth of the well, and the unit is m;
step 7, calculating the average drilling time coefficient T of the nth schemen: by Tn＝(∑Hk/vk) Calculating the average time-to-drill coefficient T of the nth scheme by the aid of/5HnIn the formula: hkLength of the well section in m, v units of the kth rate of penetrationkThe kth mechanical drilling speed is in the unit of m/h;
step 8, calculating the optimal coefficient S of the nth schemen＝Rn+Tn；
Step 9, turning to step 3 when n is equal to n + 1;
step 10, optimizing coefficients S of N schemesnSorting is carried out to find the minimum SnAnd the corresponding scheme is the optimal scheme.
2. The virtual simulation-based drilling scenario optimization method of claim 1, wherein: the mechanical drilling rate data in the step 0 comprise the mechanical drilling rate and the corresponding well section length section by section from the well head to the well bottom; the drilling risk level data of the whole well section comprises a risk level i section by section from the well head to the well bottom and the corresponding well section length.
3. The virtual simulation-based drilling scenario optimization method of claim 2, wherein: in step 2, the risk level i is 1,2,3,4, 5.
4. The virtual simulation-based drilling scenario optimization method of claim 3, wherein: the step 4 is realized by the following steps:
for the nth set of solutions, use is made of
Figure FDA0003216779220000021
Respectively calculating the sum H of the lengths of the well sections with the risks of all levelsiIn the formula: j represents the serial number of each well section in the ith level risk, hijFor the J well section length with i-th risk, assuming that there is J section with i-th risk, HiIs the sum of the lengths of all well sections at the i-th risk.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103824131A (en) * 2014-02-28 2014-05-28 西南石油大学 System and method for predicating risks of drilling construction working site of oil-gas well
CN106150484A (en) * 2015-04-08 2016-11-23 中国石油化工股份有限公司 A kind of drilling well leakage Forecasting Methodology based on numeral rock mass
CN106150476A (en) * 2015-04-09 2016-11-23 中国石油化工股份有限公司 A kind of system of the viscous suction bit freezing risk predicting drill string
CN106548406A (en) * 2015-09-23 2017-03-29 中国石油化工股份有限公司 A kind of drillng operation risk management and control system and method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103824131A (en) * 2014-02-28 2014-05-28 西南石油大学 System and method for predicating risks of drilling construction working site of oil-gas well
CN106150484A (en) * 2015-04-08 2016-11-23 中国石油化工股份有限公司 A kind of drilling well leakage Forecasting Methodology based on numeral rock mass
CN106150476A (en) * 2015-04-09 2016-11-23 中国石油化工股份有限公司 A kind of system of the viscous suction bit freezing risk predicting drill string
CN106548406A (en) * 2015-09-23 2017-03-29 中国石油化工股份有限公司 A kind of drillng operation risk management and control system and method

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