CN105221132B - A kind of drilling engineering parameter condition detection method - Google Patents

A kind of drilling engineering parameter condition detection method Download PDF

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Publication number
CN105221132B
CN105221132B CN201410306809.7A CN201410306809A CN105221132B CN 105221132 B CN105221132 B CN 105221132B CN 201410306809 A CN201410306809 A CN 201410306809A CN 105221132 B CN105221132 B CN 105221132B
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abnormal
sampled data
current time
drilling engineering
parameter
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CN201410306809.7A
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CN105221132A (en
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孙旭
徐术国
何江
肖莉
李昌盛
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中国石油化工股份有限公司
中国石油化工股份有限公司石油工程技术研究院
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Abstract

The invention discloses a kind of drilling engineering parameter condition detection method, this method includes:S101, obtain drilling engineering parameter current time sampled data;S102, judge whether the sampled data at current time is more than default bound threshold range, if it is, judging that the sampled data at current time is abnormal, executes step S103, otherwise judges that the sampled data at current time is normal, execute step S104;Whether the sampled data at n moment is abnormal before S103, judgement, if it is, judge drilling engineering parameter exception, it is no to then follow the steps S104;S104, judge whether the number of abnormal sample data in current time and preceding m moment reaches k, if it is, judging drilling engineering parameter exception, otherwise judge that drilling engineering parameter is normal;Wherein, m, k, n are positive integer, and m>k>n.This method can ensure the real-time and accuracy of judging result, contribute in first time to field engineer to be likely to occur the warning of certain down hole problem.

Description

A kind of drilling engineering parameter condition detection method

Technical field

The present invention relates to oil-gas exploration technical fields, specifically, being related to a kind of drilling engineering parameter condition detection method.

Background technology

Oil is indispensable important energy source in economic development, it has national economy and people's lives great shadow It rings.Oil exploration & development is a complicated operation, and wherein drilling well is then the important link of petroleum exploration and development.

When drilling well is crept into, since drill bit is in underground job, its working condition can not be directly observed.And subterranean strata and its His earth formation is complicated, and there is different rock stratum, gas-bearing formation and liquid layers.Only know about the Parameters variation in drilling process, ability It is enough that rational drilling engineering parameter is determined according to Parameters variation, to grasp and control the safety of drilling process.

Drilling engineering parameter is down hole problem generation or imminent main presentation, drilling well in drilling process extremely Monitoring, analysis and the processing of engineering parameter exception are for effectivelying prevent or avoiding down hole problem to play crucial work With.

And be related to not yet in terms of the real-time diagnosis of prior art drilling engineering parameter state at the scene, it is still not carried out existing The implementation diagnosis of field drilling engineering parameter abnormality.

Based on the above situation, there is an urgent need for a kind of methods that can in real time, accurately carry out drilling engineering parameter state-detection.

Invention content

To solve the above problems, the present invention provides a kind of drilling engineering parameter condition detection method, the method includes:

S101, obtain drilling engineering parameter current time sampled data;

S102, judge whether the sampled data at the current time is more than default bound threshold range, if it is, sentencing The sampled data at the disconnected current time is abnormal, executes step S103, otherwise judges that the sampled data at the current time is normal, Execute step S104;

Whether the sampled data at n moment is abnormal before S103, judgement, if it is, judging the drilling engineering parameter It is abnormal, it is no to then follow the steps S104;

S104, judge whether the number of abnormal sample data in current time and preceding m moment reaches k, if it is, Judge that the drilling engineering parameter is abnormal, otherwise judges that the drilling engineering parameter is normal;

Wherein, m, k, n are positive integer, and m>k>n.

According to one embodiment of present invention,

In step s 102, the write-in of the sampled data at current time can be stored to the company of the sampled data at m+1 moment Continuous parameter section queue;

In step s 103, the write-in of the sampled data at current time can be stored to the company of the sampled data at n+1 moment Continuous anomaly parameter queue.

According to one embodiment of present invention, in step S104:

Empty continuous abnormal parameter queue;

The number of abnormal sample data in the continuous parameter section queue is counted, and judges whether the number reaches k.

According to one embodiment of present invention, in step s 103:

The continuous abnormal parameter queue is written into the sampled data at the current time;

Judge whether the continuous abnormal parameter queue is write completely, if write completely, judge that the drilling engineering parameter is abnormal, It is no to then follow the steps S104.

According to one embodiment of present invention, the method includes:

The sampled data at the current time of S301, acquisition drilling engineering parameter;

S302, judge whether the sampled data at the current time is more than default bound threshold range, if it is, sentencing The sampled data at the disconnected current time is abnormal, otherwise judges that the sampled data at the current time is normal;

S303, judge whether the number of abnormal sample data in current time and preceding m moment reaches k, if it is, Judge that the drilling engineering parameter is abnormal, it is no to then follow the steps S204;

S304 judges whether the sampled data at current time and preceding n moment is abnormal, if it is, judging the brill Well engineering parameter is abnormal, otherwise judges that the drilling engineering parameter is abnormal;

Wherein, m, k, n are positive integer, and m>k>n.

According to one embodiment of present invention,

In step s 302, the write-in of the sampled data at current time can be stored to the company of the sampled data at m+1 moment Continuous parameter section queue;

In step s 304, the write-in of the sampled data at current time can be stored to the company of the sampled data at n+1 moment Continuous anomaly parameter queue.

According to one embodiment of present invention, in step S303:

Empty continuous abnormal parameter queue;

The number of abnormal sample data in the continuous parameter section queue is counted, and judges whether the number reaches k.

According to one embodiment of present invention, in step s 304:

The continuous abnormal parameter queue is written into the sampled data at the current time;

Judge whether the continuous abnormal parameter queue is write completely, if write completely, judge that the drilling engineering parameter is abnormal, Otherwise judge that the drilling engineering parameter is normal.

Drilling engineering parameter is down hole problem generation or imminent main presentation in drilling process extremely.It utilizes This method can judge that drilling engineering parameter is in terms of continuous abnormal sampled data and discrete anomaly sampled data two It is no to be abnormal.Compared to existing method, this method can ensure the real-time and accuracy of judging result, to contribute to The warning of certain down hole problem is likely to occur to field engineer in first time, live drilling engineer is enable to be directed to Property analyse in depth the drilling engineering parameter exception table as and its down hole problem that is likely to occur, reach and effectively prevent or avoid The purpose that down hole problem occurs.

Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by specification, rights Specifically noted structure is realized and is obtained in claim and attached drawing.

Description of the drawings

In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is required attached drawing in technology description to do simple introduction:

Fig. 1 is the flow chart of drilling engineering parameter condition detection method according to an embodiment of the invention;

Fig. 2 is the particular flow sheet of drilling engineering parameter condition detection method according to an embodiment of the invention;

Fig. 3 is the flow chart according to the drilling engineering parameter condition detection method of another embodiment of the invention.

Specific implementation mode

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and examples, how to be applied to the present invention whereby Technological means solves technical problem, and the realization process for reaching technique effect can fully understand and implement.It needs to illustrate As long as not constituting conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, It is formed by technical solution within protection scope of the present invention.

Meanwhile in the following description, for illustrative purposes and numerous specific details are set forth, to provide to of the invention real Apply the thorough understanding of example.It will be apparent, however, to one skilled in the art, that the present invention can not have to tool here Body details or described ad hoc fashion are implemented.

In addition, step shown in the flowchart of the accompanying drawings can be in the department of computer science of such as a group of computer-executable instructions It is executed in system, although also, logical order is shown in flow charts, and it in some cases, can be to be different from herein Sequence execute shown or described step.

Embodiment one:

Fig. 1 shows the flow chart for the drilling engineering parameter condition detection method that the present embodiment is provided.

As shown in Figure 1, in the present embodiment, sampling of the acquisition drilling engineering parameter at current time first in step S101 Data.

Because under normal circumstances, the value of drilling engineering parameter can be in a preset bound threshold range, if super The bound threshold range is gone out, has then shown that the value of drilling engineering parameter sampled data at this time is abnormal.So in step In S102, judge whether drilling engineering parameter in the sampled data at current time has been more than preset bound threshold range.Such as The sampled data at fruit current time has been more than preset bound threshold range, then judges that the sampled data at current time is abnormal, And execute step S103;Otherwise judge that the sampled data at current time is normal, and execute step S104.

If the sampled data at current time is abnormal, in step s 103, the drilling engineering parameter can be judged at first n Whether the sampled data at quarter is abnormal.If abnormal, i.e., obtained by the n+1 including current time continuous sampling instants Drilling engineering parameter sampled data it is abnormal, then judge that exception occurs in the drilling engineering parameter at this time.If including There are normal datas in the sampled data of the n+1 obtained drilling engineering parameters of continuous sampling instant at current time, then It executes step S104 to be further analyzed with the sampled data to the drilling engineering parameter, to judge the drilling engineering parameter It is whether normal.

In step S104, the number of abnormal sample data in the m+1 continuous sampling moment for including current time is judged Whether k have been reached.Wherein, count abnormal in the m+1 continuous sampling moment for including current time first in step S104a (there is abnormal sampled point to the number of sampled data in sampled data in the m+1 continuous sampling moment for including current time Number), whether the number that then judgment step S104a is counted in step S104b is greater than or equal to k.If system It counts obtained number and is greater than or equal to k, then it is abnormal to judge that the drilling engineering parameter occurs, otherwise judges the drilling engineering parameter Normally.

In order to ensure drilling engineering parameter condition adjudgement process reasonability, need to ensure that m, k and n are positive integer, and m >k>n.In this way, when the sampled data at the n+1 including current time continuous moment is not all of abnormal, then by sampled data Range expand to cover the m+1 continuous moment at current time and judged, if there is k moment in this m+1 moment Sampled data is abnormal, then judges engineering parameter exception.Obviously, the value of k should be more than n at this time.

Fig. 2 shows the particular flow sheets of drilling engineering parameter condition detection method shown in figure 1.

As shown in Fig. 2, obtain sampled data of the drilling engineering parameter to be analyzed at current time in step s 201 first, Its principle and process are identical as step S101, and details are not described herein.

The present embodiment in step S202, by collected drilling engineering parameter to be analyzed current time sampled data Continuous parameter section queue is written.Wherein the queue of continuous parameter section is a kind of type of customized storage data, specifically, it It is a kind of linear list that operation is restricted.The linear list only allows to carry out the insertion of data in one end of table, and in the another of table One end carries out the deletion of data, and wherein tail of the queue is one end that data are inserted into, and team's head is one end that data are deleted, and empty queue is then Empty table without data.The linear list follows the data manipulation principle of first in first out.

In the present embodiment, the sampled data at 20 continuous sampling moment, the i.e. value of m can be written in the queue of continuous parameter section It is 19.

In step S203, judge whether the sampled data at current time has exceeded default bound threshold range.If It is then to show that the sampled data at current time is abnormal data, executes step S204 at this time.It, can will be current in step S204 Continuous abnormal parameter queue is written in the sampled data at moment.Except its sampled data number that can be written is 9 (i.e. values of n Except 8), the characteristic of the continuous abnormal parameter queue is identical as continuous parameter section queue, and details are not described herein.

In step S204, whether the continuous abnormal parameter queue of meeting real-time judge is fully written.If the queue is fully written (sampled data that 9 continuous moment are stored in the queue) then shows that the sampled data except current time is abnormal data Outside, the sampled data of preceding 8 sampling instants is also all abnormal data, and it is different then to may determine that the drilling engineering parameter occurs at this time Often.If the continuous abnormal parameter queue is not fully written, S207 is thened follow the steps.

If judging the sampled data at current time in step S203 without departing from default bound threshold range, Show that the sampled data at current time is normal, executes step S206 at this time to empty continuous abnormal parameter queue.If when current The sampled data at quarter is normal, then continuous abnormal parameter queue can be emptied.So by the step, it can ensure that continuous abnormal is joined The abnormal data stored in number queue is the sampled data at continuous sampling moment.

In step S207, the sampling instant that value in continuous parameter section queue is more than default bound threshold range is calculated Number, that is, calculate the number of the abnormal sample data in 20 continuous moment including current time.

In step S208, whether the obtained numbers of judgment step S207 are greater than or equal to default anomaly parameter points threshold Value.If it is, may determine that drilling engineering parameter exception;Otherwise judge that the drilling engineering parameter is normal.The present embodiment In, the value of k is 15, i.e., if there is adopting at least 15 sampling instants in 20 continuous sampling moment including current time Sample data exception then may determine that drilling engineering parameter exception.

It should be noted that in other embodiments of the invention, the value of m, k and n can also be other reasonable values.

Drilling engineering parameter is down hole problem generation or imminent main presentation in drilling process extremely.It utilizes This method can judge that drilling engineering parameter is in terms of continuous abnormal sampled data and discrete anomaly sampled data two It is no to be abnormal.Compared to existing method, this method can ensure the real-time and accuracy of judging result, to contribute to The warning of certain down hole problem is likely to occur to field engineer in first time, live drilling engineer is enable to be directed to Property analyse in depth the drilling engineering parameter exception table as and its down hole problem that is likely to occur, reach and effectively prevent or avoid The purpose that down hole problem occurs.

Embodiment two:

In the drilling engineering parameter condition detection method that embodiment one is provided, if the number of the sampling instant of continuous abnormal Mesh does not reach n+1, then can judge whether the number of the abnormal data in m+1 sampling instant reaches k, is come into one with this Step judges the state of drilling engineering parameter.And the drilling engineering parameter monitoring method that the present embodiment is provided first judges that m+1 are adopted Whether the number of abnormal data reaches k in the sample moment, if do not reached, continues the sampling instant for judging continuous abnormal Data further judge that the state of drilling engineering parameter, Fig. 3 show in the present embodiment and bore with this either with or without reaching n+1 The flow chart of well engineering parameter condition detection method.

As shown in figure 3, the sampled data of current time drilling engineering parameter is obtained first in step S301, and in step Judge whether the sampled data at current time is more than to preset in bound threshold range, principle and process and embodiment in S302 Step S101 is identical with step S102, and details are not described herein.

If the sampled data at current time has been more than default bound threshold range, show the hits at current time According to for abnormal data, abnormal sample in the m+1 continuous sampling moment for judging to include current time in step S303 is executed at this time Whether the number of data reaches k.If it is, judging that the drilling engineering parameter is abnormal;It is no to then follow the steps S304.

In the present embodiment, step S303 includes step S303a and step S303b, with step described in embodiment one The principle and process of S104a and step S104b is identical, and details are not described herein.

In step s 304, judge whether the sampled data at current time and preceding n moment is abnormal.If it is, sentencing The disconnected drilling engineering parameter is abnormal, otherwise judges that the drilling engineering parameter is normal.

Certainly, similar with embodiment one, it, can also in the drilling engineering parameter condition detection method that the present embodiment is provided The sampled data at current time is written into continuous parameter section queue, and by abnormal sample parameter read-in continuous abnormal parameter queue, Details are not described herein.In addition, in the present embodiment, m, k are also positive integer, and deposit with as defined in embodiment such as n In m>k>n.

The drilling engineering parameter condition detection method that the present embodiment is provided first judges abnormal in m+1 continuous sampling moment Whether the number of data reaches k, if do not reached, continues the sampling instant that judgement includes the continuous abnormal at current time Data either with or without n+1 is reached, the state of drilling engineering parameter is further judged with this, is also achieved in this way from discontinuous Judge whether drilling well well engineering is abnormal in terms of abnormal sample data and continuous abnormal sampled data two.Compared to existing Method, this method can equally ensure the real-time and accuracy of judging result.

It should be understood that disclosed embodiment of this invention is not limited to specific structure disclosed herein, processing step Or material, and the equivalent substitute for these features that those of ordinary skill in the related art are understood should be extended to.It should also manage Solution, term as used herein is used only for the purpose of describing specific embodiments, and is not intended to limit.

" one embodiment " or " embodiment " mentioned in specification means the special characteristic described in conjunction with the embodiments, structure Or characteristic includes at least one embodiment of the present invention.Therefore, the phrase " reality that specification various places throughout occurs Apply example " or " embodiment " the same embodiment might not be referred both to.

Although above-mentioned example is used to illustrate principle of the present invention in one or more application, for the technology of this field For personnel, without departing substantially from the principle of the present invention and thought, hence it is evident that can in form, the details of usage and implementation It is upper that various modifications may be made and does not have to make the creative labor.Therefore, the present invention is defined by the appended claims.

Claims (6)

1. a kind of drilling engineering parameter condition detection method, which is characterized in that the method includes:
S101, obtain drilling engineering parameter current time sampled data;
S102, judge whether the sampled data at the current time is more than default bound threshold range, if it is, judging institute The sampled data for stating current time is abnormal, executes step S103, otherwise judges that the sampled data at the current time is normal, executes Step S104;
Whether the sampled data at n moment is abnormal before S103, judgement, if it is, judge that the drilling engineering parameter is abnormal, It is no to then follow the steps S104;
S104, judge whether the number of abnormal sample data in current time and preceding m moment reaches k, if it is, judging The drilling engineering parameter is abnormal, otherwise judges that the drilling engineering parameter is normal;
Wherein, m, k, n are positive integer, and m>k>n;
In step s 102, the write-in of the sampled data at current time can be stored to the continuous ginseng of the sampled data at m+1 moment Several sections of queues;
In step s 103, the write-in of the sampled data at current time can be stored to the continuous different of the sampled data at n+1 moment Normal parameter queue.
2. the method as described in claim 1, which is characterized in that in step S104:
Empty continuous abnormal parameter queue;
The number of abnormal sample data in the continuous parameter section queue is counted, and judges whether the number reaches k.
3. method as claimed in claim 2, which is characterized in that in step s 103:
The continuous abnormal parameter queue is written into the sampled data at the current time;
Judge whether the continuous abnormal parameter queue is write completely, if write completely, judges that the drilling engineering parameter is abnormal, otherwise Execute step S104.
4. a kind of drilling engineering parameter condition detection method, which is characterized in that the method includes:
The sampled data at the current time of S301, acquisition drilling engineering parameter;
S302, judge whether the sampled data at the current time is more than default bound threshold range, if it is, judging institute The sampled data for stating current time is abnormal, otherwise judges that the sampled data at the current time is normal;
S303, judge whether the number of abnormal sample data in current time and preceding m moment reaches k, if it is, judging The drilling engineering parameter is abnormal, no to then follow the steps S204;
S304 judges whether the sampled data at current time and preceding n moment is abnormal, if it is, judging the spudder Otherwise journey abnormal parameters judge that the drilling engineering parameter is abnormal;
Wherein, m, k, n are positive integer, and m>k>n;
In step s 302, the write-in of the sampled data at current time can be stored to the continuous ginseng of the sampled data at m+1 moment Several sections of queues;
In step s 304, the write-in of the sampled data at current time can be stored to the continuous different of the sampled data at n+1 moment Normal parameter queue.
5. method as claimed in claim 4, which is characterized in that in step S303:
Empty continuous abnormal parameter queue;
The number of abnormal sample data in the continuous parameter section queue is counted, and judges whether the number reaches k.
6. method as claimed in claim 5, which is characterized in that in step s 304:
The continuous abnormal parameter queue is written into the sampled data at the current time;
Judge whether the continuous abnormal parameter queue is write completely, if write completely, judges that the drilling engineering parameter is abnormal, otherwise Judge that the drilling engineering parameter is normal.
CN201410306809.7A 2014-06-30 2014-06-30 A kind of drilling engineering parameter condition detection method CN105221132B (en)

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