CN105484724A - Drilling downhole anomaly monitoring method - Google Patents
Drilling downhole anomaly monitoring method Download PDFInfo
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- CN105484724A CN105484724A CN201410480085.8A CN201410480085A CN105484724A CN 105484724 A CN105484724 A CN 105484724A CN 201410480085 A CN201410480085 A CN 201410480085A CN 105484724 A CN105484724 A CN 105484724A
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Abstract
The present invention discloses a drilling downhole anomaly monitoring method. The method comprises: a pre-drilling prediction step of analyzing and predicting drilling anomaly by utilization of a preset anomaly prediction module according to drilling design data, field construction data and area drilling information, and obtaining potential anomaly distribution well sections and anomaly symptomatic parameters; and a mid-drilling monitoring step of during the drilling process, determining whether the current drilling well section belongs to the potential anomaly distribution well sections or not according to mid-drilling data of drilling, analyzing and obtaining an actual variation trend of anomaly symptomatic parameters of the potential anomaly distribution well section according to the mid-drilling data if the current drilling well section belongs to the potential anomaly distribution well sections, comparing the actual variation trend with a simulated variation trend of the anomaly symptomatic parameters which is obtained by utilization of a preset data monitoring module, and determining whether the current drilling well section is abnormal according to comparison results. According to the method, drilling downhole anomaly monitoring can be more visual, more pertinent and more efficient, downhole troublesome conditions can be effectively prevented or avoided, and drilling downhole construction safety is ensured.
Description
Technical field
The present invention relates to oil-gas exploration technical field, specifically, relate to a kind of drilling well down-hole method for monitoring abnormality.
Background technology
Drilling process has the complexity of height, and this result also in the uncertainty of down-hole state.In wellbore construction process, particularly at new district and complicated interval, the abnormal possibility occurred in drilling well down-hole all exists at any time.Can what extremely occur in drilling well down-hole be early stage, provides warning to a certain degree, in some sense or warning, for the development of prevention and corntrol drilling well down-hole exception, reduces the loss that down-hole occurs to bring extremely to greatest extent, is significant.
Existing drilling well down-hole method for monitoring abnormality is all concentrate on the monitoring to data in brill, and its monitoring for drilling well down-hole exception is comprehensive not.So this also just result in the inaccurate problem of result that existing down-hole method for monitoring abnormality obtains.
Based on above-mentioned situation, need badly a kind ofly abnormal can to carry out comprehensively drilling well down-hole, the method for monitor.
Summary of the invention
For solving the problem, the invention provides a kind of drilling well down-hole method for monitoring abnormality, described method comprises:
Prediction before drilling step, according to Drilling Design data, site operation data and region drilling information, utilizes default predicting abnormality model to carry out analyses and prediction to drilling well is abnormal, obtains potential spatial abnormal feature well section and abnormal sign parameter;
Monitoring step in brill, in drilling process, judge that current brill meets whether well section is potential spatial abnormal feature well section according to data in the brill of drilling well, if, the actual change trend of the abnormal sign parameter of this potential spatial abnormal feature well section is then obtained according to data analysis in described brill, and the simulation of described actual change trend with the abnormal sign parameter utilizing preset data monitoring model to obtain is compared, judge that described current brill is met well section and whether be there is exception according to comparative result.
According to one embodiment of present invention, described region drilling information comprises any one in following lising or several:
Region drilling geology information, region drilling well abnormal information, offset well geological information and offset well abnormal information.
According to one embodiment of present invention, in described brill in monitoring step,
Calculate the described actual change trend of abnormal sign parameter and the difference of simulation, described difference and corresponding preset difference value threshold range are compared, judge that described current brill is met well section and whether be there is exception according to comparative result.
According to one embodiment of present invention, judge that described current brill is met well section and whether be there is abnormal comprising the following steps according to comparative result:
For each abnormal sign parameter, judge whether the difference of its actual variation tendency and simulation exceedes the preset difference value threshold range of this abnormal sign parameter respectively, if exceeded, then judge this abnormal sign abnormal parameters, otherwise judge that this abnormal sign parameter is normal;
Statistics institute occurs the quantity of abnormal abnormal sign parameter, and judges whether described current brill chance well section exists exception according to adding up the quantity obtained.
According to one embodiment of present invention, judge that described current brill is met well section and whether be there is abnormal comprising the following steps according to adding up the quantity obtained:
Judge whether add up the quantity obtained exceedes predetermined number threshold value, if exceeded, then judge that described current brill is met well section and existed abnormal, otherwise judge that described current brill is met well section and be there is not exception; Or,
The ratio of the total quantity of the quantity that counting statistics obtains and abnormal sign parameter, judges whether described ratio exceedes preset ratio threshold value, if exceeded, then judges that described current brill is met well section and existed abnormal, otherwise judges that described current brill is met well section and be there is not exception.
According to one embodiment of present invention, described method also comprises after monitoring step in described brill:
Exception Type analytical procedure, exists extremely if well section met by described current brill, according to described current actual change trend of boring the abnormal sign parameter of meeting well section, analyzes and obtains the described current Exception Type boring chance well section.
According to one embodiment of present invention, described abnormal sign parameter comprises at least one item in following lising:
Drilling fluid density, well head flow, standpipe pressure and rate of penetration and suspending weight.
According to one embodiment of present invention,
If declined at drilling fluid density, in well head flow rises, standpipe pressure fluctuates up and down, rate of penetration rises and suspending weight fluctuates up and down exceptional condition, described current boring meets the satisfied condition quantity of well section more than the first predetermined threshold value, then judge that the described current Exception Type boring chance well section is well kick;
If in the exceptional condition constant at drilling fluid density, well head flow declines, standpipe pressure declines, rate of penetration rises and suspending weight is constant, described current boring meets the satisfied condition quantity of well section more than the second predetermined threshold value, then judge that the described current Exception Type boring chance well section is leakage;
If risen at drilling fluid density, well head flow declines, standpipe pressure rises, in rate of penetration is constant and suspending weight is constant exceptional condition, described current boring meets the satisfied condition quantity of well section more than the 3rd predetermined threshold value, then judge that the described current Exception Type boring chance well section is well slough.
According to one embodiment of present invention, described method also comprises after Exception Type analytical procedure:
Analysis on Abnormal step, obtains abnormal Producing reason according to data, Exception Type analysis in described brill.
According to one embodiment of present invention, described method also comprises after Analysis on Abnormal step:
Processing scheme establishment step, according to data in described brill and abnormal Producing reason, analyzes and obtains abnormal processing scheme.
Drilling well down-hole provided by the present invention method for monitoring abnormality obtains the potential spatial abnormal feature well section of drilling well and abnormal sign parameter by prediction before drilling, utilizes subsequently and obtain potential spatial abnormal feature well section and abnormal sign parameter to judge that well section whether exception met by current brills in brill in monitoring.
The exception monitoring in stage in brill is only related to compared to existing drilling well down-hole method for monitoring abnormality, method for monitoring abnormality provided by the present invention can reflect the whole manufacturing process of drilling well more comprehensively, exactly, more accurate, reliable monitoring result can be obtained like this, thus ensure in drilling well down-hole abnormal occur early stage, provide warning to a certain degree, in some sense or warning, to reduce the loss to greatest extent, this is significant for prevention and corntrol drilling well down-hole exception.
In order to more efficient, have more the monitoring carrying out drilling well down-hole exception targetedly, drilling well down-hole provided by the present invention method for monitoring abnormality can be analyzed further to the Exception Type of the drilling well of appearance exception, abnormal Producing reason, and when needed, abnormal processing scheme can also be provided, thus contribute to staff and process the exception that occurs of drilling well more in time, effectively, and then prevent or avoid the generation of down hole problem, ensure the safety of drilling well underground construction.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from manual, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in manual, claims and accompanying drawing and obtain.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, do simple introduction by accompanying drawing required in embodiment or description of the prior art below:
Fig. 1 is the flow chart of drilling well down-hole method for monitoring abnormality according to an embodiment of the invention;
Fig. 2 is the flow chart carrying out prediction before drilling according to an embodiment of the invention;
Fig. 3 is the flow chart of monitoring in boring according to an embodiment of the invention.
Detailed description of the invention
Describe embodiments of the present invention in detail below with reference to drawings and Examples, to the present invention, how application technology means solve technical problem whereby, and the implementation procedure reaching technique effect can fully understand and implement according to this.It should be noted that, only otherwise form conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other, and the technical scheme formed is all within protection scope of the present invention.
Meanwhile, in the following description, many details have been set forth for illustrative purposes, to provide thorough understanding of embodiments of the invention.But, it will be apparent to those skilled in the art that the present invention can detail here or described ad hoc fashion implement.
In addition, can perform in the computer system of such as one group of computer executable instructions in the step shown in the flow chart of accompanying drawing, and, although show logical order in flow charts, but in some cases, can be different from the step shown or described by order execution herein.
Existing drilling well down-hole method for monitoring abnormality is all the exception monitoring that the data produced by drilling well stage in brill carry out drilling well, and the manufacturing process of drilling well can be divided into and bores the last stage and the stage in boring, the data in stage in boring obviously only are utilized to be to reflect the state of drilling well in the whole production phase comprehensively, exactly.So the present invention is directed to the above-mentioned defect of prior art, provide a kind of by boring the potential predicting abnormality of front drilling well and the integrated method of carrying out drilling well down-hole exception monitoring of abnormal Real-Time Monitoring in brill.
Fig. 1 shows the flow chart of the drilling well down-hole method for monitoring abnormality that the present embodiment provides.
As shown in Figure 1, the method that the present embodiment provides is in prediction before drilling step S101, according to Drilling Design data, site operation data and region drilling information before drilling well is not crept into, analyze and obtain the potential spatial abnormal feature well section on this stratum, drilling well place and abnormal sign parameter.
The particular flow sheet of prediction before drilling is carried out in the present embodiment shown in Fig. 2.
As shown in Figure 2, Drilling Design data, site operation data and region drilling information is obtained first in step s 201.In the present embodiment, Drilling Design data comprise drilling well design of drilling track information, along the address layering of borehole track and lithological information, prediction of formation pressure information etc., region drilling information comprises region drilling geology information, region drilling well abnormal information, offset well geological information and faces well abnormal information.Wherein, what region drilling geology information and region drilling well abnormal information represented is the relevant information with wellblock, this drilling well place, the relevant information of the drilling well adjacent with this well that what offset well geological information and offset well abnormal information represented is.
In the present embodiment, Drilling Design data and region drilling information can be obtained by historical summary, and site operation data can be obtained by the construction parameter of this drilling well.Certainly, in other embodiments of the invention, these data can also be obtained by other reasonable manners, the present invention is not limited thereto.
In addition, it should be noted that, the data that in the present embodiment, Drilling Design data and region drilling information comprise can be also any one in above listed corresponding data or several, can also comprise the reasonable data that other are unlisted, the present invention is not limited thereto.
After obtaining Drilling Design data, site operation data and region drilling information, in step S202, the above-mentioned data obtained are transferred in the system item database for the above-mentioned data of store and management.In the present embodiment, system item database adopts network edition database, and this database can network enabled be accessed, and namely user can access this database by network.Such user can get the Drilling Design data of this drilling well, site operation data and region drilling information quickly and easily by communication network, and other data stored in this database, and do not need to enter situ of drilling well, improve the service efficiency of data and the operating efficiency of user.
Last in step S203, based on the Drilling Design data got, site operation data and region drilling information, utilize default predicting abnormality model extremely to carry out analyses and prediction to creeping into of drilling well, obtain the potential spatial abnormal feature well section of this drilling well and abnormal sign parameter.Preset predicting abnormality model by analyzing Drilling Design data, site operation data and region drilling information, the situation of change of technological parameter main when this drilling well abnormal stratum easily occurs in drilling process and occurs abnormal can be obtained, so just, main monitoring target can be provided for the data monitoring in process in brill, so just, computer resource can be utilized fully to come useful data analysis process, thus reduce need data volume to be processed, improve data processing speed and the degree of accuracy, thus improve the degree of accuracy and the reliability of monitoring result.
Before the drilling complexity situation of drilling process, fault and accident produce, various technological parameter may produce and slow increase, slowly to fall, suddenly to increase, plunges or the variation tendency such as fluctuation, by detecting the main characteristic parameters in brill in process in technological parameter, the i.e. situation of change of abnormal sign parameter, just can identify the abnormality in process in brill.
As can be seen from foregoing description, the drilling well down-hole method for detecting abnormality that the present embodiment provides, by carrying out prediction before drilling to drilling well, obtains the potential spatial abnormal feature well section on this stratum, drilling well place and abnormal sign parameter.Potential spatial abnormal feature well section is this drilling well may there is abnormal well section in drilling process, so by determining potential spatial abnormal feature well section, the required formation data analyzed can be determined, and do not need the data analysis that all stratum of boring chance to this drilling well produce, decrease the data volume of Water demand, this contributes to improving monitoring efficiency and the degree of accuracy.Equally, by the drilling parameter (i.e. abnormal sign parameter) determining required monitoring and analyze, also contribute to improving monitoring efficiency and the degree of accuracy.
Again as shown in Figure 1, after the potential spatial abnormal feature well section obtaining drilling well and abnormal sign parameter, in the process that the present embodiment creeps in drilling well, the i.e. stage in brill, data in the brill of Real-time Obtaining drilling well in step s 102, and judge whether current brill chance well section is potential spatial abnormal feature well section according to data in brill.
If well section met by current brill is potential spatial abnormal feature well section, then illustrates that this well section may exist exception, at this moment just need data in the brill to this well section further to analyze.And if current brill is met well section and is not belonged to potential spatial abnormal feature well section, then illustrate that this well section exists abnormal probability less, do not need further to analyze this well section, then next is bored meet well section and analyze.
If well section met by current brill belong to potential spatial abnormal feature well section, then in step s 103 the actual change trend of the abnormal sign parameter of this potential spatial abnormal feature well section (namely current boring meets well section) is compared with simulation, and judge whether current brill chance well section exists exception according to comparative result.
Fig. 3 shows in the present embodiment and judges that current brill is met well section and whether belonged to potential spatial abnormal feature well section and whether there is abnormal flow chart.
As shown in Figure 3, in the present embodiment, in step S301, first obtain data in the brill of this drilling well in drilling process, and obtain the current degree of depth of boring chance well section according to data analysis in the brill got in step s 302.
In step S303, judge whether the current degree of depth of meeting well section of boring mates with the degree of depth of potential spatial abnormal feature well section.If coupling, then represent that current brill is met well section and belonged to potential spatial abnormal feature well section; If do not mated, then represent that current brill is met well section and do not belonged to potential spatial abnormal feature well section, current brill is met well section and is occurred that abnormal probability is less.Processing resource to fully, reasonably utilize, well section not met to this brill not belonging to potential spatial abnormal feature well section in the present embodiment and analyzing, so now will be proceeded to next bore chance well section, analyze to bore chance well section to next.
Certainly, in other embodiments of the invention, according to actual needs, also can meet to the brill not belonging to potential spatial abnormal feature well section the analysis that well section carries out abnormality, its process and principle and to the analysis classes of the abnormality of potential spatial abnormal feature well section seemingly, the present invention is not limited thereto.
Because in prediction before drilling step, obtain the information of each potential spatial abnormal feature well section of this drilling well, according to current information of boring the degree of depth and each potential spatial abnormal feature well section of meeting well section, the such as depth bounds etc. of each potential spatial abnormal feature well section, so just can determine that current brill is met well section and whether belonged to potential spatial abnormal feature well section.
If well section met by current brill belong to potential spatial abnormal feature well section, now obtain current actual change trend of boring each abnormal sign parameter of meeting well section according to data analysis in brill in step s 304, and in step S305, utilize the analysis of preset data analytical model to obtain the current simulation boring each abnormal sign parameter of meeting well section.
The value relation over time that what the simulation of abnormal sign parameter represented is in the normal situation of this abnormal sign parameter, and actual change trend represents is this abnormal sign parameter value relation over time in practical situations both.So by comparing a certain actual change trend of abnormal sign parameter of synchronization and the value of simulation, just can judge whether this abnormal sign parameter deviate from normal value, and namely whether this abnormal sign parameter has occurred exception.
Abnormal sign parameter can comprise any one in drilling fluid density, well head flow, standpipe pressure, rate of penetration and suspending weight or several.In the present embodiment, in order to improve accuracy and the reliability of monitoring result, abnormal sign parameter have employed above-mentioned all listed parameters.It should be noted that, in other embodiments of the invention, abnormal sign parameter also can comprise other unlisted Reasonable Parameters, the present invention is not limited thereto.
The present embodiment is in step S306, calculate the actual change trend of each abnormal sign parameter of synchronization and the difference of simulation respectively, and in step S307, judge whether each difference calculated exceedes the preset difference value threshold range of corresponding abnormal sign parameter.For a certain abnormal sign parameter, if the difference of its actual variation tendency and simulation has exceeded the preset difference value threshold range of this abnormal sign parameter, then show that this abnormal sign parameter occurs abnormal, otherwise can judge that this abnormal sign parameter is normal.
When utilizing the method shown in Fig. 3 whether normally to judge the standpipe pressure of certain well, this well is (06:00:00) place 6 time, the simulation of standpipe pressure is close with the value of actual change trend, the difference of the two within the scope of preset difference value, so can judge that now standpipe pressure does not occur exception.And 22 time 43 points of (22:43:00) places, the simulation of standpipe pressure differs comparatively large with the value of actual change trend, the difference of the two has exceeded preset difference value scope, thus so can judge that now standpipe pressure occurs abnormal.
It should be noted that, in other embodiments of the invention, can also judge that whether each abnormal sign parameter is abnormal by other reasonable manners, the present invention is not limited thereto.Such as in one embodiment of the invention, for a certain abnormal sign parameter, the simulation of this abnormal sign parameter and the degree of fitting of actual change trend in preset duration can also be added up, and judge whether this degree of fitting exceedes default degree of fitting threshold value.If exceeded, then can judge that this abnormal sign parameter is normal, otherwise this abnormal sign abnormal parameters can be judged.
Utilize said method, can judge whether each abnormal sign parameter occurs exception similarly respectively.Like this, just can judge that current brill is met well section and whether occurred exception by the abnormality of each abnormal sign parameter.Again as shown in Figure 3, the present embodiment adds up the quantity occurring abnormal abnormal sign parameter in step S308, and in step S309, judge whether this quantity counted on exceedes predetermined number threshold value.If exceeded, then can judge that current brill is met well section and occurred abnormal; Otherwise can judge that current brill meets well section normally, now just can carry out next and bore the monitoring analysis of meeting well section.
It should be noted that, in other embodiments of the invention, other rational methods can also be adopted, utilize the abnormality of each abnormal sign parameter to judge whether normally current brill meets well section, the present invention is not limited thereto.
Such as in one embodiment of the invention, can the quantity of abnormal sign parameter of appearance exception that obtains of counting statistics and the ratio of the total quantity of abnormal sign parameter, and judge whether this ratio exceedes preset ratio threshold value, if exceeded preset ratio threshold value, then can judge that current brill is met well section and occurred abnormal, otherwise just can judge that current brill chance well section is normal.
As can be seen from foregoing description, the drilling well down-hole method for monitoring abnormality that the present embodiment provides obtains the potential spatial abnormal feature well section of drilling well and abnormal sign parameter by prediction before drilling, utilizes subsequently and obtain potential spatial abnormal feature well section and abnormal sign parameter to judge that well section whether exception met by current brills in brill in monitoring.The exception monitoring in stage in brill is only related to compared to existing drilling well down-hole method for monitoring abnormality, the method for monitoring abnormality that the present embodiment provides can reflect the whole manufacturing process of drilling well more comprehensively, exactly, more accurate, reliable monitoring result can be obtained like this, thus ensure in drilling well down-hole abnormal occur early stage, provide warning to a certain degree, in some sense or warning, to reduce the loss to greatest extent, this is significant for prevention and corntrol drilling well down-hole exception.
In order to more efficient, have more the monitoring carrying out drilling well down-hole exception targetedly, the drilling well down-hole method for monitoring abnormality that the present embodiment provides can be analyzed further to the Exception Type of the drilling well of appearance exception, abnormal Producing reason, and when needed, abnormal processing scheme can also be provided, thus contribute to staff and process the exception that occurs of drilling well more in time, effectively, and then prevent or avoid the generation of down hole problem, ensure the safety of drilling well underground construction.
Again as shown in Figure 1, after the abnormality of well section met by the current brill obtaining drilling well, the current abnormality of meeting well section of boring that the drilling well down-hole method for monitoring abnormality that the present embodiment provides obtains according to step S103 in step S104 judges whether extremely current brill meets well section.Exist abnormal if well section met by current brill, then in step S105, the current Exception Type of meeting well section that bores is analyzed; If well section met by current brill there is not exception, then proceed next and bore the analysis of meeting well section.
The present embodiment, in step S105, according to the actual change trend of each abnormal sign parameter, is analyzed and is obtained the current Exception Type boring chance well section.Because abnormal sign parameter comprises drilling fluid density, well head flow, standpipe pressure, rate of penetration and suspending weight in the present embodiment, so judge that the principle of the Exception Type of current brill chance well section and process are set forth further below to this method for above-mentioned abnormal sign parameter.
According to the actual change trend of each anomaly parameter, the various variable condition of parameters can be obtained, such as, rise, decline, fluctuate up and down, and utilize these variable condition of parameters, the current Exception Type boring chance well section can be judged.
Particularly, in the present embodiment, if declined at drilling fluid density, in well head flow rises, standpipe pressure fluctuates up and down, rate of penetration rises and suspending weight fluctuates up and down exceptional condition, current brill meets the quantity of the above-mentioned exceptional condition that well section meets more than the first predetermined threshold value, then can judge that the current Exception Type boring chance well section is well kick.
If in the exceptional condition constant at drilling fluid density, well head flow declines, standpipe pressure declines, rate of penetration rises and suspending weight is constant, current brill meets the quantity of the above-mentioned exceptional condition that well section meets more than the second predetermined threshold value, then can judge that the current Exception Type boring chance well section is leakage.
If risen at drilling fluid density, well head flow declines, standpipe pressure rises, in rate of penetration is constant and suspending weight is constant exceptional condition, current brill meets the quantity of the above-mentioned exceptional condition that well section meets more than the 3rd predetermined threshold value, then can judge that the current Exception Type boring chance well section is well slough.
It should be noted that, according to the difference of the wellblock at actual well drilled place and the characterisitic parameter of drilling well, above-mentioned first predetermined threshold value, second presets threshold, the value of the 3rd predetermined threshold value can be identical, also can be different, the present invention is not limited thereto.And in order to differentiate the current Exception Type of meeting well section that bores more exactly, in the present embodiment, above-mentioned first predetermined threshold value, the second predetermined threshold value and the equal value of the 3rd predetermined threshold value are 5, when namely only having current each abnormal sign parameter of boring chance well section all to meet corresponding variation tendency, just can judge that current brill is met well section and occurred above-mentioned corresponding Exception Type.
In addition, also it should be noted that, in other embodiments of the invention, the actual change trend of abnormal sign parameter can also be utilized, adopt other rational methods to differentiate the current Exception Type boring chance well section, the present invention is not limited thereto.
Current differentiation of boring the Exception Type of meeting well section can provide effective data foundation for staff, thus the abnormality understanding drilling well accurately, all sidedly for staff provides guarantee, contribute to staff to process the abnormality occurred as soon as possible, thus ensure the safety of underground construction.
After analyzing the Exception Type obtaining current brill chance well section, the drilling well down-hole method for monitoring abnormality that the present embodiment provides can also be analyzed abnormal Producing reason, and can also provide the processing scheme of this exception when needed.
As shown in Figure 1, the present embodiment in step s 106, is analyzed the abnormal Producing reason of current brill chance well section according to the Exception Type that data in the brill that step S102 collects and step S105 determine.
And in step s 107, then according to the abnormal Producing reason that data and step S106 in the brill collected obtain, analyze and produce current processing scheme of boring the exception that chance well section occurs.Particularly, can quantize relevant abnormal factors according to real parameter of boring, thus calculate abnormal probability, unnatural effects and exceptional value, and judge whether this exception can be accepted, according to these judged results and abnormal Producing reason, by analysis, just can propose the processing scheme of this exception, provide foundation for staff processes existing exception as soon as possible, thus effectively prevent or avoid the generation of down hole problem, ensure normally carrying out of drillng operation.
In addition, in order to present the result of anomaly analysis in brill more intuitively to drilling operator, the present embodiment can also obtain the wellbore trace of drilling well according to data separate well track analytical model in described brill, and visual Simulation is carried out to described wellbore trace, also the actual change trend of abnormal sign parameter and simulation are shown, to demonstrate matching relationship therebetween clearly, significantly simultaneously.
So far complete and bore the down-hole exception monitoring of meeting well section to current.When drilling bit bores next well section of chance, using next well section as current well section, and such scheme is adopted to analyze next brill chance well section.
In order to verify feasibility and the advantage of this method, the present embodiment utilizes this method to test in certain oil field block emphasis well remote monitoring and decision support project.In the drilling engineering design stage (namely boring the last stage) of X well, the potential exception of this well drilling well is predicted, obtain the potential abnormal anomaly parameter of this well, and carried out the visual of anomaly parameter based on well drilling rail.Creeping into the stage (in namely boring stage) at this well, based on the potential abnormal visual Simulation of dividing well spacing section and abnormal sign parameter and wellbore trace of this well, abnormal well section is divided to carry out specific aim and visualizing monitor to drilling well down-hole is abnormal, effectively prevent or avoid the generation of repeatedly drilling well exception, reach the object to X well drilling well down-hole exception monitoring and effect.
Drilling well down-hole provided by the invention method for monitoring abnormality detects the down-hole of drilling well is abnormal in the stage in last stage and brill of boring respectively.The method is integrated, visual by exception monitoring in potential predicting abnormality before brill and brill, make drilling well down-hole exception monitoring more intuitively, more targetedly, more efficient, can effectively prevent or avoid the generation of down hole problem, ensure drilling well underground construction safety.
It should be understood that disclosed embodiment of this invention is not limited to ad hoc structure disclosed herein, treatment step or material, and the equivalent of these features that those of ordinary skill in the related art understand should be extended to substitute.It is to be further understood that term is only for describing the object of specific embodiment as used herein, and and do not mean that restriction.
Special characteristic, structure or characteristic that " embodiment " mentioned in manual or " embodiment " mean to describe in conjunction with the embodiments comprise at least one embodiment of the present invention.Therefore, manual various places throughout occur phrase " embodiment " or " embodiment " might not all refer to same embodiment.
Although above-mentioned example is for illustration of the principle of the present invention in one or more application, but for a person skilled in the art, when not deviating from principle of the present invention and thought, obviously can in form, the details of usage and enforcement does various amendment and need not creative work be paid.Therefore, the present invention is limited by appending claims.
Claims (10)
1. a drilling well down-hole method for monitoring abnormality, is characterized in that, described method comprises:
Prediction before drilling step, according to Drilling Design data, site operation data and region drilling information, utilizes default predicting abnormality model to carry out analyses and prediction to drilling well is abnormal, obtains potential spatial abnormal feature well section and abnormal sign parameter;
Monitoring step in brill, in drilling process, judge that current brill meets whether well section is potential spatial abnormal feature well section according to data in the brill of drilling well, if, the actual change trend of the abnormal sign parameter of this potential spatial abnormal feature well section is then obtained according to data analysis in described brill, and the simulation of described actual change trend with the abnormal sign parameter utilizing preset data monitoring model to obtain is compared, judge that described current brill is met well section and whether be there is exception according to comparative result.
2. the method for claim 1, is characterized in that, described region drilling information comprises any one in following lising or several:
Region drilling geology information, region drilling well abnormal information, offset well geological information and offset well abnormal information.
3. method as claimed in claim 1 or 2, is characterized in that, in described brill in monitoring step,
Calculate the described actual change trend of abnormal sign parameter and the difference of simulation, described difference and corresponding preset difference value threshold range are compared, judge that described current brill is met well section and whether be there is exception according to comparative result.
4. method as claimed in claim 3, is characterized in that, judges that described current brill is met well section and whether be there is abnormal comprising the following steps according to comparative result:
For each abnormal sign parameter, judge whether the difference of its actual variation tendency and simulation exceedes the preset difference value threshold range of this abnormal sign parameter respectively, if exceeded, then judge this abnormal sign abnormal parameters, otherwise judge that this abnormal sign parameter is normal;
Statistics institute occurs the quantity of abnormal abnormal sign parameter, and judges whether described current brill chance well section exists exception according to adding up the quantity obtained.
5. method as claimed in claim 4, is characterized in that, judges that described current brill is met well section and whether be there is abnormal comprising the following steps according to adding up the quantity obtained:
Judge whether add up the quantity obtained exceedes predetermined number threshold value, if exceeded, then judge that described current brill is met well section and existed abnormal, otherwise judge that described current brill is met well section and be there is not exception; Or,
The ratio of the total quantity of the quantity that counting statistics obtains and abnormal sign parameter, judges whether described ratio exceedes preset ratio threshold value, if exceeded, then judges that described current brill is met well section and existed abnormal, otherwise judges that described current brill is met well section and be there is not exception.
6. the method according to any one of Claims 1 to 5, is characterized in that, described method also comprises after monitoring step in described brill:
Exception Type analytical procedure, exists extremely if well section met by described current brill, according to described current actual change trend of boring the abnormal sign parameter of meeting well section, analyzes and obtains the described current Exception Type boring chance well section.
7. method as claimed in claim 6, is characterized in that, described abnormal sign parameter comprises at least one item in following lising:
Drilling fluid density, well head flow, standpipe pressure and rate of penetration and suspending weight.
8. method as claimed in claim 7, is characterized in that,
If declined at drilling fluid density, in well head flow rises, standpipe pressure fluctuates up and down, rate of penetration rises and suspending weight fluctuates up and down exceptional condition, described current boring meets the satisfied condition quantity of well section more than the first predetermined threshold value, then judge that the described current Exception Type boring chance well section is well kick;
If in the exceptional condition constant at drilling fluid density, well head flow declines, standpipe pressure declines, rate of penetration rises and suspending weight is constant, described current boring meets the satisfied condition quantity of well section more than the second predetermined threshold value, then judge that the described current Exception Type boring chance well section is leakage;
If risen at drilling fluid density, well head flow declines, standpipe pressure rises, in rate of penetration is constant and suspending weight is constant exceptional condition, described current boring meets the satisfied condition quantity of well section more than the 3rd predetermined threshold value, then judge that the described current Exception Type boring chance well section is well slough.
9. the method according to any one of claim 6 ~ 8, is characterized in that, described method also comprises after Exception Type analytical procedure:
Analysis on Abnormal step, obtains abnormal Producing reason according to data, Exception Type analysis in described brill.
10. method as claimed in claim 9, it is characterized in that, described method also comprises after Analysis on Abnormal step:
Processing scheme establishment step, according to data in described brill and abnormal Producing reason, analyzes and obtains abnormal processing scheme.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107545079A (en) * | 2016-06-23 | 2018-01-05 | 中国石油化工股份有限公司 | A kind of wellbore trace offsets monitoring method |
| CN109779602A (en) * | 2018-12-12 | 2019-05-21 | 武汉盛华伟业科技股份有限公司 | A kind of drilling engineering intelligent and safe method for prewarning risk and system |
| CN111305827A (en) * | 2018-12-11 | 2020-06-19 | 中国石油化工股份有限公司 | Method for predicting well leakage risk early warning threshold of drilling well |
| CN111414955A (en) * | 2020-03-17 | 2020-07-14 | 北京中油瑞飞信息技术有限责任公司 | Intelligent detection method and device for leakage and overflow of petroleum drilling well and electronic equipment |
| CN111677493A (en) * | 2019-03-11 | 2020-09-18 | 中国石油化工股份有限公司 | Drilling data processing method |
| CN111861021A (en) * | 2020-07-28 | 2020-10-30 | 中国联合网络通信集团有限公司 | Business risk prediction method, device, equipment and computer readable storage medium |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NO169914B (en) * | 1984-06-30 | 1992-05-11 | Anadrill Int Sa | BROWN BORING MONITORING SYSTEM |
| NO20020461L (en) * | 2001-01-30 | 2002-07-31 | Schlumberger Technology Bv | Interactive approach for real-time viewing, querying and prediction of drilling events and hazard information |
| CA2482912A1 (en) * | 2002-04-19 | 2003-10-30 | Mark W. Hutchinson | System and method for interpreting drilling data |
| CA2755384A1 (en) * | 2009-03-16 | 2010-09-23 | Verdande Technology As | A method and system for monitoring a drilling operation |
| CN102128022A (en) * | 2010-12-30 | 2011-07-20 | 中国电子科技集团公司第二十二研究所 | Drilling engineering early warning method and system thereof |
| CN102405014A (en) * | 2008-12-29 | 2012-04-04 | 马克.埃文斯 | Identifying the level of fetal risk during labor |
| CN103615236A (en) * | 2013-11-26 | 2014-03-05 | 中国石油集团川庆钻探工程有限公司 | Method for real-time monitoring of formation pressure by means of remote mud logging information |
| CN103939081A (en) * | 2014-05-07 | 2014-07-23 | 中国石油大学(华东) | Fast logging engineering parameter data collecting system and processing method thereof |
| CN203783570U (en) * | 2013-11-26 | 2014-08-20 | 中国石油集团川庆钻探工程有限公司 | Comprehensive logging integrated formation pressure detecting device in process of drilling |
-
2014
- 2014-09-18 CN CN201410480085.8A patent/CN105484724A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NO169914B (en) * | 1984-06-30 | 1992-05-11 | Anadrill Int Sa | BROWN BORING MONITORING SYSTEM |
| NO20020461L (en) * | 2001-01-30 | 2002-07-31 | Schlumberger Technology Bv | Interactive approach for real-time viewing, querying and prediction of drilling events and hazard information |
| CA2482912A1 (en) * | 2002-04-19 | 2003-10-30 | Mark W. Hutchinson | System and method for interpreting drilling data |
| CN102405014A (en) * | 2008-12-29 | 2012-04-04 | 马克.埃文斯 | Identifying the level of fetal risk during labor |
| CA2755384A1 (en) * | 2009-03-16 | 2010-09-23 | Verdande Technology As | A method and system for monitoring a drilling operation |
| CN102128022A (en) * | 2010-12-30 | 2011-07-20 | 中国电子科技集团公司第二十二研究所 | Drilling engineering early warning method and system thereof |
| CN103615236A (en) * | 2013-11-26 | 2014-03-05 | 中国石油集团川庆钻探工程有限公司 | Method for real-time monitoring of formation pressure by means of remote mud logging information |
| CN203783570U (en) * | 2013-11-26 | 2014-08-20 | 中国石油集团川庆钻探工程有限公司 | Comprehensive logging integrated formation pressure detecting device in process of drilling |
| CN103939081A (en) * | 2014-05-07 | 2014-07-23 | 中国石油大学(华东) | Fast logging engineering parameter data collecting system and processing method thereof |
Non-Patent Citations (6)
| Title |
|---|
| TOM BRATTON, ETC: "Avoiding Drilling Problems", 《OILFIELD REVIEW》 * |
| WALT ALDRED, ETC: "Managing drilling risk", 《OILFIELD REVIEW》 * |
| 刘毅军: "《天然气产业链下游市场风险研究》", 30 April 2007, 石油工业出版社 * |
| 张辉等: "《综合录井技术概论》", 30 April 2013, 中国石油大学出版社 * |
| 熊青山等: "《石油钻井工程实习指导书—钻井》", 30 June 2011, 中国石油大学出版社 * |
| 陈庭根等: "《钻井工程理论与技术》", 30 June 2000, 石油大学出版社 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107545079A (en) * | 2016-06-23 | 2018-01-05 | 中国石油化工股份有限公司 | A kind of wellbore trace offsets monitoring method |
| CN111305827A (en) * | 2018-12-11 | 2020-06-19 | 中国石油化工股份有限公司 | Method for predicting well leakage risk early warning threshold of drilling well |
| CN111305827B (en) * | 2018-12-11 | 2023-04-18 | 中国石油化工股份有限公司 | Method for predicting well leakage risk early warning threshold of drilling well |
| CN109779602A (en) * | 2018-12-12 | 2019-05-21 | 武汉盛华伟业科技股份有限公司 | A kind of drilling engineering intelligent and safe method for prewarning risk and system |
| CN111677493A (en) * | 2019-03-11 | 2020-09-18 | 中国石油化工股份有限公司 | Drilling data processing method |
| CN111414955A (en) * | 2020-03-17 | 2020-07-14 | 北京中油瑞飞信息技术有限责任公司 | Intelligent detection method and device for leakage and overflow of petroleum drilling well and electronic equipment |
| CN111414955B (en) * | 2020-03-17 | 2023-08-25 | 昆仑数智科技有限责任公司 | Intelligent detection method and device for petroleum drilling lost circulation overflow and electronic equipment |
| CN113775327A (en) * | 2020-06-05 | 2021-12-10 | 中国石油化工股份有限公司 | Method, device and equipment for detecting drilling abnormity, drilling well and storage medium |
| CN113775327B (en) * | 2020-06-05 | 2024-04-09 | 中国石油化工股份有限公司 | Method, device, equipment, well drilling and storage medium for detecting well drilling abnormality |
| CN111861021A (en) * | 2020-07-28 | 2020-10-30 | 中国联合网络通信集团有限公司 | Business risk prediction method, device, equipment and computer readable storage medium |
| CN114046141A (en) * | 2021-09-26 | 2022-02-15 | 中国海洋石油集团有限公司 | Drilling engineering complex condition judging and auxiliary intervention system |
| CN116360367A (en) * | 2023-03-29 | 2023-06-30 | 合肥汇一能源科技有限公司 | Industrial equipment Internet of things data acquisition method and system |
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