CN117780257B - Geological exploration data intelligent monitoring system and method based on big data - Google Patents
Geological exploration data intelligent monitoring system and method based on big data Download PDFInfo
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- 239000012530 fluid Substances 0.000 claims abstract description 159
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Abstract
The invention relates to the technical field of geological exploration, in particular to an intelligent geological exploration data monitoring system and method based on big data, comprising the following steps: the device comprises a rock stratum detection module, a drilling fluid analysis module, an offset parameter module, a liquid separation module and an offset restoration module, wherein the rock stratum detection module is used for detecting rock stratum types, the drilling fluid analysis module is used for analyzing characteristic changes of drilling fluids before and after injection, the offset parameter module is used for calculating drilling offset, the liquid separation module is used for dividing offset areas and injecting different drilling fluids, and the offset restoration module is used for restoring drilling offset.
Description
Technical Field
The invention relates to the technical field of geological exploration, in particular to an intelligent geological exploration data monitoring system and method based on big data.
Background
Geological exploration is a method for obtaining information about the surface and subsurface structural features of the earth by studying the structure, composition of matter and geological history of the earth, for finding and developing subsurface mineral resources, requiring the use of well drilling for geological sampling work. In the process that the drilling machine goes deep into underground drilling, drilling fluid needs to be injected into the bottom of a well through a drill rod, and then the drilling fluid is pumped out through a gap between a borehole and the drill rod, so that drilled chips and mud are taken away, and meanwhile, the temperature of the drill bit is lowered.
In the actual drilling process, the change of stratum, the specification of drilling tool and the property of the used drilling fluid can influence the drilling direction, the drilling is often deviated, namely the drilling axis deviates from the designed track, so that the drill rod is bent, the drilling cannot be driven into the ground vertically, the drilling quality is influenced, and the drilling machine is possibly damaged, so that economic loss and potential safety hazard are caused.
Drilling offset is generally monitored in engineering through a traditional inclinometer or an Inertial Measurement Unit (IMU), but for a relatively narrow wellhead, professional equipment is difficult to deeply measure, and in addition, offset correction is difficult to carry out even if offset of drilling is detected.
Disclosure of Invention
The invention aims to provide a geological exploration data intelligent monitoring system and method based on big data, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent geological exploration data monitoring system based on big data, comprising: the system comprises a rock stratum detection module, a drilling fluid analysis module, an offset parameter module, a liquid separation module and an offset restoration module;
The rock stratum detection module is used for detecting underground rock stratum by using a mineral detection method, acquiring rock stratum parameters below a drilling point, finding out a corresponding rock stratum type from a large database, and testing a drilling machine according to the rock stratum type;
the drilling fluid analysis module is used for injecting drilling fluid into the well, analyzing characteristic changes of the drilling fluid before and after injection, and calculating rock stratum parameters drilled by the drilling machine according to the characteristic changes;
The deviation parameter module is used for determining whether a drilling machine deviates according to the predicted rock stratum parameter and the actually measured rock stratum parameter, calculating the actual drilling depth according to the predicted drilling depth and the drilling speed of the drilling machine when the deviation exists, and calculating the drilling deviation according to the actual drilling depth;
The liquid separation module is used for acquiring the relation between drilling fluid parameters and offset restoration, dividing an offset area by using a baffle plate, injecting different drilling fluids into different divided spaces, and adjusting the working parameters of a drilling machine so as to restore drilling offset;
the offset repairing module is used for collecting drilling fluid in a well, calculating the repairing quantity of the drill bit by analyzing the density change of the drilling fluid before and after injection, and completing the offset repairing work when the repairing quantity is equal to the offset.
Further, the formation detection module includes: a seismic wave detection unit and a drilling machine testing unit;
The seismic wave detection unit is used for detecting a rock stratum underground by using a mineral detection method, and the mineral detection method comprises the following steps: seismic detection, electromagnetic detection, gravity measurement and magnetic measurement to obtain parameters of the underground rock stratum, wherein the parameters of the rock stratum comprise: formation hardness, formation thickness, formation density, and formation conductivity;
the drilling machine testing unit is used for analyzing the rock stratum type according to the measured rock stratum parameters and testing the drilling speed of the drilling machine according to the rock stratum type.
Further, the drilling fluid analysis module includes: the device comprises a density analysis unit, a drilling fluid circulation unit and a characteristic extraction unit;
the density analysis unit is used for calculating the density of drilling fluid in the injection well according to the formation pressure;
The drilling fluid circulation unit is used for injecting drilling fluid into the well from the drill rod and extracting the used drilling fluid at the well head;
The characteristic extraction unit is used for collecting drilling fluid samples and measuring the density of the samples.
Further, the offset parameter module includes: a loss volume unit and an offset monitoring unit;
the loss volume unit is used for analyzing the rock stratum loss quality according to the drilling fluid characteristics and calculating rock stratum parameters;
The deviation monitoring unit is used for judging the deviation condition of the drill bit according to the stratum parameters and the drilling data and calculating the deviation amount.
Further, the liquid separation module includes: a liquid baffle unit, a separation grouting unit and a parameter control unit;
The liquid baffle unit is used for dividing the well into a plurality of areas;
the separation grouting unit is used for injecting drilling fluids with different parameters in each region;
the parameter control unit is used for adjusting the working parameters of the drilling machine so that the drilling machine can continue to work.
Further, the offset repair module includes: a drilling fluid analysis unit and a drilling machine restoration unit;
the drilling fluid analysis unit is used for analyzing the rock stratum loss quality in different areas according to the density change before and after drilling fluid injection;
and the drilling machine repairing unit is used for calculating repairing quantity according to the rock stratum loss quality, and when the repairing quantity is equal to the offset, the partition plate is removed to complete repairing work.
A geological exploration data intelligent monitoring method based on big data comprises the following steps:
s1, detecting underground rock stratum by using a mineral detection method to obtain rock stratum parameters below a drilling point, fitting the rock stratum type according to the rock stratum parameters, testing a drilling machine by using the rock sample, and recording drilling pressure of the drilling machine when the rock stratum is drilled;
S2, when a drilling machine drills a well, calculating drilling fluid injection density according to the drilling pressure obtained in the step S1, injecting the drilling fluid from a drill rod into the bottom of the well, extracting drilling fluid samples from the bottom of the well at fixed time intervals, measuring the density of the samples, and calculating the rock stratum loss mass of drilling according to the sample density;
S3, calculating the actual drilling depth of the rock stratum according to the rock stratum loss quality obtained in the step S2 and the rock stratum dividing parameter obtained in the step S1, comparing the actual drilling depth with the depth marked by the drill rod, judging whether the drilling is offset or not, and calculating the offset and the offset angle when the drilling is offset;
s4, after the deviation direction of drilling is measured, separating the liquid injection channel of the drill rod into different areas by using a baffle plate, testing the slurry cutting capability of different types of drilling liquid, injecting different types of drilling liquid into each area, starting the drilling machine to work, and correcting the drilling deviation;
S5, sampling drilling fluid in the well, calculating the repairing quantity of the drilling deviation by analyzing the density of the drilling fluid, and removing the partition plate in the drilling when the repairing quantity is equal to the deviation quantity, so that the repairing of the drilling deviation is completed.
Further, step S1 includes:
S11, detecting an underground rock stratum by using a mineral detection method, wherein the mineral detection method comprises the following steps of: seismic detection, electromagnetic detection, gravity measurement and magnetic force measurement;
S12, analyzing the obtained measurement data, and calculating underground rock stratum parameters of the position of the drilling point, wherein the rock stratum parameters comprise: formation hardness, formation thickness, formation density, and formation conductivity;
S13, acquiring calculated underground rock stratum parameters, and fitting the acquired parameters in a rock stratum large database to acquire the type of the underground rock stratum, wherein the rock stratum large database is composed of historical drilling data of other drilling projects;
And S14, taking out a rock sample to test the drilling machine, wherein the rock type of the rock sample is the same as the rock type fitted in the step S13, and recording the drilling pressure of the drilling machine when the drilling machine drills the rock sample.
The method can utilize the existing mineral detection technology to know the geological structure characteristics of the underground, provide data support for the subsequent drilling analysis, and simultaneously utilize the data provided in the rock-soil database to assist in judging the rock type, so as to help the exploration personnel to carry out drilling decision, optimize the exploration process and reduce the exploration risk.
Further, step S2 includes:
Step S21, calculating injection density P of drilling fluid in the drilling process, wherein p=f/(g·h0·pi·r 2), F represents drilling pressure measured in step S14, g represents gravitational acceleration, H0 represents stratum thickness measured in step S12, pi is a circumference ratio, and r represents radius of the drill bit;
after the drilling fluid with the density of P is prepared, pumping the drilling fluid into the bottom of a well from a fluid injection hole in the drill rod;
S22, waiting for the liquid level of the drilling fluid to be stabilized at a wellhead, extracting a drilling fluid sample from the bottom of a well at intervals of a preset fixed time period T, and measuring the density of the sample by using a fluid measuring tool;
S23, calculating the rock stratum loss quality of the well drilling according to the following formula:
Wherein, representing the lost mass of the L rock stratum, P0 represents the density of the drilling fluid obtained in the step S22, P represents the injection density of the drilling fluid, H1 represents the drilling depth marked by a drill rod, r represents the radius of the drill bit, and P0> P.
According to the method, the loss of the rock stratum can be calculated according to the parameter change of drilling fluid before and after injection, and the drilling fluid can be uniformly stirred by the drill bit rotating at high speed to form suspension liquid with uniform density, so that the density of the rock can be accurately reflected by a sample, and the judgment of the drilling effect is facilitated.
Further, step S3 includes:
S31, calculating the actual drilling depth of the rock stratum according to the rock stratum parameters obtained in the step S1:
where HU represents the actual drilling depth of the formation and W represents the formation density measured in step S12;
s32, judging that the drill bit has no deviation condition and does not adjust when H1-HU is less than or equal to a, wherein a represents a preset deviation threshold;
when H1-HU > a, judging that the drill bit has an offset condition, stopping the working of the drilling machine, and turning to a step S33;
S33, when the deviation of the drill bit is detected, calculating the deviation of the drill bit according to the following formula:
Wherein, Representing the offset angle of the drill bit, H2 represents the drilling depth marked by the drill rod at the last sampling, arccos represents the inverse cosine function, and LT represents the offset of the drill bit.
The actual drilling depth can be calculated through the measured data, and the inclination and buckling conditions of the lower half part of the drill rod can be found by comparing the actual drilling depth with scales marked on the drill rod, so that whether the drilling is deviated or not is judged, the drilling direction is helped to be adjusted in time, the well bore is ensured to pass through a target stratum, and the drilling accuracy is improved.
Further, step S4 includes:
S41, vertically penetrating a long rod with scales into the bottom of a well from a well mouth, then tilting the long rod until the lower end of the long rod is tightly attached to the well wall, rotating the long rod, always keeping the lower end of the long rod tightly attached to the well wall, observing the scales on the long rod, and when the length of the long rod penetrating into the well reaches the maximum value, the pointing direction of the long rod is the deviation direction of the well;
S42, vertically placing a partition plate into a liquid injection channel of a drill rod, wherein the placing direction of the partition plate is perpendicular to the deviation direction of drilling, so that the liquid injection channel is divided into two areas, the area pointed by the deviation direction is marked as a first area, the area not pointed by the deviation direction is marked as a second area, and the partition plate can isolate drilling liquid;
S43, testing the slurry cutting capacity of drilling fluids with different parameters on the rock sample by utilizing the rock sample under the current drilling speed, and marking the drilling fluid with the weakest slurry cutting capacity as first drilling fluid and the drilling fluid with the strongest slurry cutting capacity as second drilling fluid;
s44, after the residual drilling fluid in the well is emptied, the first drilling fluid is injected into the first area, the second drilling fluid is injected into the second area, and the drilling machine is started to continue working at the same drilling speed.
The step can utilize the influence of different drilling fluids on the offset of the drill bit to enable the drill bit to reversely deflect back into a correct drilling track, thereby achieving the purpose of deviation correction.
Further, step S5 includes:
S51, sampling drilling fluid in a well, measuring the density of the drilling fluid in the well, marking as PR, and calculating the repairing amount of drilling deviation according to the measured density:
Wherein P1 represents the density of the first drilling fluid, P2 represents the density of the second drilling fluid, V1 represents the total volume of the first drilling fluid injection, and V2 represents the total volume of the second drilling fluid injection;
s53, comparing the calculated repair quantity with the offset quantity, and judging that the repair is completed when the repair judgment condition is met, and turning to S54, wherein the repair judgment condition is as follows:
wherein LT represents the offset, arctan represents the arctangent function;
And S54, stopping the drilling machine when repairing is completed, removing the partition plate in the liquid injection channel, pumping away the drilling liquid remained in the well, re-injecting the drilling liquid with the density of P, and restarting the drilling machine after the drilling liquid level is stabilized at the wellhead, so as to restart the drilling procedure.
The step can actually measure and monitor the repairing effect of the drilling well, immediately stop the repairing process after the repairing is completed, prevent the situation of excessive repairing from happening, and better adjust the drilling deviation in the drilling well process.
Compared with the prior art, the invention has the following beneficial effects:
1. According to the invention, the type of the rock at the bottom of the well can be analyzed according to the parameter change of the drilling fluid before and after injection, and whether the deviation exists in the drilling process is judged according to the difference between the detection condition and the actual condition of the rock, so that the method can help to adjust the drilling direction in time, ensure the well to pass through a target stratum, improve the drilling accuracy, avoid unnecessary deviation, reduce the condition of re-drilling or back drilling, improve the drilling efficiency and save time and cost.
2. The method can calculate the offset and the offset angle of the drilling offset, can help drilling personnel to adjust the position of the drilling machine, and can know information such as stratum conditions, borehole offset trend and the like, thereby optimizing borehole track design, ensuring that the drilling path is more reasonable and achieving the expected target.
3. The invention can utilize the influence of drilling fluid on drilling deviation to adjust the density, viscosity and fluid loss performance of the drilling fluid in different areas so as to change the stability of the well wall and the slurry cutting capacity, thereby achieving the purpose of deviation correction, being capable of helping the drilling well to accurately penetrate through the target stratum, improving the exploration and development effects of oil and gas and improving the recovery ratio and the productivity.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a geological exploration data intelligent monitoring system based on big data;
FIG. 2 is a schematic diagram of steps of an intelligent geological exploration data monitoring method based on big data.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: an intelligent geological exploration data monitoring system based on big data, comprising: the system comprises a rock stratum detection module, a drilling fluid analysis module, an offset parameter module, a liquid separation module and an offset restoration module;
The rock stratum detection module is used for detecting underground rock stratum by using a mineral detection method, acquiring rock stratum parameters below a drilling point, finding out a corresponding rock stratum type from a large database, and testing a drilling machine according to the rock stratum type;
The formation detection module includes: a seismic wave detection unit and a drilling machine testing unit;
The seismic wave detection unit is used for detecting a rock stratum underground by using a mineral detection method, and the mineral detection method comprises the following steps: seismic detection, electromagnetic detection, gravity measurement and magnetic measurement to obtain parameters of the underground rock stratum, wherein the parameters of the rock stratum comprise: formation hardness, formation thickness, formation density, and formation conductivity;
the drilling machine testing unit is used for analyzing the rock stratum type according to the measured rock stratum parameters and testing the drilling speed of the drilling machine according to the rock stratum type.
The drilling fluid analysis module is used for injecting drilling fluid into the well, analyzing characteristic changes of the drilling fluid before and after injection, and calculating rock stratum parameters drilled by the drilling machine according to the characteristic changes;
The drilling fluid analysis module comprises: the device comprises a density analysis unit, a drilling fluid circulation unit and a characteristic extraction unit;
the density analysis unit is used for calculating the density of drilling fluid in the injection well according to the formation pressure;
The drilling fluid circulation unit is used for injecting drilling fluid into the well from the drill rod and extracting the used drilling fluid at the well head;
The characteristic extraction unit is used for collecting drilling fluid samples and measuring the density of the samples.
The deviation parameter module is used for determining whether a drilling machine deviates according to the predicted rock stratum parameter and the actually measured rock stratum parameter, calculating the actual drilling depth according to the predicted drilling depth and the drilling speed of the drilling machine when the deviation exists, and calculating the drilling deviation according to the actual drilling depth;
the offset parameter module includes: a loss volume unit and an offset monitoring unit;
the loss volume unit is used for analyzing the rock stratum loss quality according to the drilling fluid characteristics and calculating rock stratum parameters;
The deviation monitoring unit is used for judging the deviation condition of the drill bit according to the stratum parameters and the drilling data and calculating the deviation amount.
The liquid separation module is used for acquiring the relation between drilling fluid parameters and offset restoration, dividing an offset area by using a baffle plate, injecting different drilling fluids into different divided spaces, and adjusting the working parameters of a drilling machine so as to restore drilling offset;
The liquid separation module includes: a liquid baffle unit, a separation grouting unit and a parameter control unit;
The liquid baffle unit is used for dividing the well into a plurality of areas;
the separation grouting unit is used for injecting drilling fluids with different parameters in each region;
the parameter control unit is used for adjusting the working parameters of the drilling machine so that the drilling machine can continue to work.
The offset repairing module is used for collecting drilling fluid in a well, calculating the repairing quantity of the drill bit by analyzing the density change of the drilling fluid before and after injection, and completing the offset repairing work when the repairing quantity is equal to the offset.
The offset repair module includes: a drilling fluid analysis unit and a drilling machine restoration unit;
the drilling fluid analysis unit is used for analyzing the rock stratum loss quality in different areas according to the density change before and after drilling fluid injection;
and the drilling machine repairing unit is used for calculating repairing quantity according to the rock stratum loss quality, and when the repairing quantity is equal to the offset, the partition plate is removed to complete repairing work.
As shown in fig. 2, the geological exploration data intelligent monitoring method based on big data comprises the following steps:
s1, detecting underground rock stratum by using a mineral detection method to obtain rock stratum parameters below a drilling point, fitting the rock stratum type according to the rock stratum parameters, testing a drilling machine by using the rock sample, and recording drilling pressure of the drilling machine when the rock stratum is drilled;
The step S1 comprises the following steps:
S11, detecting an underground rock stratum by using a mineral detection method, wherein the mineral detection method comprises the following steps of: seismic detection, electromagnetic detection, gravity measurement and magnetic force measurement;
S12, analyzing the obtained measurement data, and calculating underground rock stratum parameters of the position of the drilling point, wherein the rock stratum parameters comprise: formation hardness, formation thickness, formation density, and formation conductivity;
S13, acquiring calculated underground rock stratum parameters, and fitting the acquired parameters in a rock stratum large database to acquire the type of the underground rock stratum, wherein the rock stratum large database is composed of historical drilling data of other drilling projects;
And S14, taking out a rock sample to test the drilling machine, wherein the rock type of the rock sample is the same as the rock type fitted in the step S13, and recording the drilling pressure of the drilling machine when the drilling machine drills the rock sample.
S2, when a drilling machine drills a well, calculating drilling fluid injection density according to the drilling pressure obtained in the step S1, injecting the drilling fluid from a drill rod into the bottom of the well, extracting drilling fluid samples from the bottom of the well at fixed time intervals, measuring the density of the samples, and calculating the rock stratum loss mass of drilling according to the sample density;
the step S2 comprises the following steps:
Step S21, calculating injection density P of drilling fluid in the drilling process, wherein p=f/(g·h0·pi·r 2), F represents drilling pressure measured in step S14, g represents gravitational acceleration, H0 represents stratum thickness measured in step S12, pi is a circumference ratio, and r represents radius of the drill bit;
after the drilling fluid with the density of P is prepared, pumping the drilling fluid into the bottom of a well from a fluid injection hole in the drill rod;
S22, waiting for the liquid level of the drilling fluid to be stabilized at a wellhead, extracting a drilling fluid sample from the bottom of a well at intervals of a preset fixed time period T, and measuring the density of the sample by using a fluid measuring tool;
S23, calculating the rock stratum loss quality of the well drilling according to the following formula:
Wherein, representing the lost mass of the L rock stratum, P0 represents the density of the drilling fluid obtained in the step S22, P represents the injection density of the drilling fluid, H1 represents the drilling depth marked by a drill rod, r represents the radius of the drill bit, and P0> P.
S3, calculating the actual drilling depth of the rock stratum according to the rock stratum loss quality obtained in the step S2 and the rock stratum dividing parameter obtained in the step S1, comparing the actual drilling depth with the depth marked by the drill rod, judging whether the drilling is offset or not, and calculating the offset and the offset angle when the drilling is offset;
The step S3 comprises the following steps:
S31, calculating the actual drilling depth of the rock stratum according to the rock stratum parameters obtained in the step S1:
where HU represents the actual drilling depth of the formation and W represents the formation density measured in step S12;
s32, judging that the drill bit has no deviation condition and does not adjust when H1-HU is less than or equal to a, wherein a represents a preset deviation threshold;
when H1-HU > a, judging that the drill bit has an offset condition, stopping the working of the drilling machine, and turning to a step S33;
S33, when the deviation of the drill bit is detected, calculating the deviation of the drill bit according to the following formula:
Wherein, Representing the offset angle of the drill bit, H2 represents the drilling depth marked by the drill rod at the last sampling, arccos represents the inverse cosine function, and LT represents the offset of the drill bit.
S4, after the deviation direction of drilling is measured, separating the liquid injection channel of the drill rod into different areas by using a baffle plate, testing the slurry cutting capability of different types of drilling liquid, injecting different types of drilling liquid into each area, starting the drilling machine to work, and correcting the drilling deviation;
The step S4 includes:
S41, vertically penetrating a long rod with scales into the bottom of a well from a well mouth, then tilting the long rod until the lower end of the long rod is tightly attached to the well wall, rotating the long rod, always keeping the lower end of the long rod tightly attached to the well wall, observing the scales on the long rod, and when the length of the long rod penetrating into the well reaches the maximum value, the pointing direction of the long rod is the deviation direction of the well;
S42, vertically placing a partition plate into a liquid injection channel of a drill rod, wherein the placing direction of the partition plate is perpendicular to the deviation direction of drilling, so that the liquid injection channel is divided into two areas, the area pointed by the deviation direction is marked as a first area, the area not pointed by the deviation direction is marked as a second area, and the partition plate can isolate drilling liquid;
S43, testing the slurry cutting capacity of drilling fluids with different parameters on the rock sample by utilizing the rock sample under the current drilling speed, and marking the drilling fluid with the weakest slurry cutting capacity as first drilling fluid and the drilling fluid with the strongest slurry cutting capacity as second drilling fluid;
s44, after the residual drilling fluid in the well is emptied, the first drilling fluid is injected into the first area, the second drilling fluid is injected into the second area, and the drilling machine is started to continue working at the same drilling speed.
S5, sampling drilling fluid in the well, calculating the repairing quantity of the drilling deviation by analyzing the density of the drilling fluid, and removing the partition plate in the drilling when the repairing quantity is equal to the deviation quantity, so that the repairing of the drilling deviation is completed.
The step S5 comprises the following steps:
S51, sampling drilling fluid in a well, measuring the density of the drilling fluid in the well, marking as PR, and calculating the repairing amount of drilling deviation according to the measured density:
Wherein P1 represents the density of the first drilling fluid, P2 represents the density of the second drilling fluid, V1 represents the total volume of the first drilling fluid injection, and V2 represents the total volume of the second drilling fluid injection;
s53, comparing the calculated repair quantity with the offset quantity, and judging that the repair is completed when the repair judgment condition is met, and turning to S54, wherein the repair judgment condition is as follows:
wherein LT represents the offset, arctan represents the arctangent function;
And S54, stopping the drilling machine when repairing is completed, removing the partition plate in the liquid injection channel, pumping away the drilling liquid remained in the well, re-injecting the drilling liquid with the density of P, and restarting the drilling machine after the drilling liquid level is stabilized at the wellhead, so as to restart the drilling procedure.
Examples: before drilling, determining that the density of rock below a drilling point is 2500Kg/m 3, the thickness is 5m, the hardness is 4Mohs by utilizing a seismic detection method, fitting in a large database, obtaining a fitting result which is limestone, testing a drilling machine by utilizing a limestone sample, obtaining the drilling pressure of the drilling machine to be 1000N, and the radius r of the drilling bit to be 0.1m, wherein the density of the used drilling fluid is P=F/(g.H2.pi.r2) =636 Kg/m 3;
Injecting drilling fluid, opening a drilling machine to drill, sampling the suspension at the bottom of a well every 2 minutes, measuring the density of the suspension to 2136Kg/m 3, marking the drilling rod with the depth of 2m, wherein the rock stratum loss mass L=94.2 Kg, the actual drilling depth HU=1.2 m, judging that the drilling has an offset phenomenon because HU-H1=0.8m is larger than a set threshold value of 0.5m, the offset is 0.14m, the offset angle is 9.8 degrees, stopping the drilling machine, and repairing the offset by using an offset repairing program.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The intelligent geological exploration data monitoring method based on big data is characterized by comprising the following steps of:
s1, detecting underground rock stratum by using a mineral detection method to obtain rock stratum parameters below a drilling point, fitting the rock stratum type according to the rock stratum parameters, testing a drilling machine by using the rock sample, and recording drilling pressure of the drilling machine when the rock stratum is drilled;
S2, when a drilling machine drills a well, calculating drilling fluid injection density according to the drilling pressure obtained in the step S1, injecting the drilling fluid from a drill rod into the bottom of the well, extracting drilling fluid samples from the bottom of the well at fixed time intervals, measuring the density of the samples, and calculating the rock stratum loss mass of drilling according to the sample density;
S3, calculating the actual drilling depth of the rock stratum according to the rock stratum loss quality obtained in the step S2 and the rock stratum parameters obtained in the step S1, comparing the actual drilling depth with the depth marked by the drill rod, judging whether the drilling is offset or not, and calculating the offset and the offset angle when the drilling is offset;
s4, after the deviation direction of drilling is measured, separating the liquid injection channel of the drill rod into different areas by using a baffle plate, testing the slurry cutting capability of different types of drilling liquid, injecting different types of drilling liquid into each area, starting the drilling machine to work, and correcting the drilling deviation;
S5, sampling drilling fluid in the well, calculating the repairing quantity of the drilling deviation by analyzing the density of the drilling fluid, and removing a baffle plate in the drill rod when the repairing quantity is equal to the deviation quantity to complete the repairing of the drilling deviation;
The step S3 comprises the following steps:
S31, calculating the actual drilling depth of the rock stratum according to the rock stratum parameters obtained in the step S1:
where HU represents the actual drilling depth of the formation and W represents the formation density measured in step S12;
s32, judging that the drill bit has no deviation condition and does not adjust when H1-HU is less than or equal to a, wherein a represents a preset deviation threshold;
when H1-HU > a, judging that the drill bit has an offset condition, stopping the working of the drilling machine, and turning to a step S33;
S33, when the deviation of the drill bit is detected, calculating the deviation of the drill bit according to the following formula:
Wherein θ represents the offset angle of the drill bit, H2 represents the drilling depth marked by the drill rod at the last sampling, arccos represents the inverse cosine function, and LT represents the offset of the drill bit;
The step S4 includes:
S41, vertically penetrating a long rod with scales into the bottom of a well from a well mouth, then tilting the long rod until the lower end of the long rod is tightly attached to the well wall, rotating the long rod, always keeping the lower end of the long rod tightly attached to the well wall, observing the scales on the long rod, and when the length of the long rod penetrating into the well reaches the maximum value, the pointing direction of the long rod is the deviation direction of the well;
S42, vertically placing a partition plate into a liquid injection channel of a drill rod, wherein the placing direction of the partition plate is perpendicular to the deviation direction of drilling, so that the liquid injection channel is divided into two areas, the area pointed by the deviation direction is marked as a first area, the area not pointed by the deviation direction is marked as a second area, and the partition plate can isolate drilling liquid;
S43, testing the slurry cutting capacity of drilling fluids with different parameters on the rock sample by utilizing the rock sample under the current drilling speed, and marking the drilling fluid with the weakest slurry cutting capacity as first drilling fluid and the drilling fluid with the strongest slurry cutting capacity as second drilling fluid;
S44, after the residual drilling fluid in the well is emptied, injecting the first drilling fluid into the first area, injecting the second drilling fluid into the second area, and starting the drilling machine to continue working at the same drilling speed;
The step S5 comprises the following steps:
S51, sampling drilling fluid in a well, measuring the density of the drilling fluid in the well, marking as PR, and calculating the repairing amount of drilling deviation according to the measured density:
Q＝PR·(V1+V2)-P1·V1-P2·V2
Wherein P1 represents the density of the first drilling fluid, P2 represents the density of the second drilling fluid, V1 represents the total volume of the first drilling fluid injection, and V2 represents the total volume of the second drilling fluid injection;
s53, comparing the calculated repair quantity with the offset quantity, and judging that the repair is completed when the repair judgment condition is met, and turning to S54, wherein the repair judgment condition is as follows:
wherein LT represents the offset, arctan represents the arctangent function;
And S54, stopping the drilling machine when repairing is completed, removing the partition plate in the liquid injection channel, pumping away the drilling liquid remained in the well, re-injecting the drilling liquid with the density of P, and restarting the drilling machine after the drilling liquid level is stabilized at the wellhead, so as to restart the drilling procedure.
2. The intelligent geological exploration data monitoring method based on big data according to claim 1, wherein the method comprises the following steps: the step S1 comprises the following steps:
S11, detecting an underground rock stratum by using a mineral detection method, wherein the mineral detection method comprises the following steps of: seismic detection, electromagnetic detection, gravity measurement and magnetic force measurement;
S12, analyzing the obtained measurement data, and calculating underground rock stratum parameters of the position of the drilling point, wherein the rock stratum parameters comprise: formation hardness, formation thickness, formation density, and formation conductivity;
S13, acquiring calculated underground rock stratum parameters, and fitting the acquired parameters in a rock stratum large database to acquire the type of the underground rock stratum, wherein the rock stratum large database is composed of historical drilling data of other drilling projects;
And S14, taking out a rock sample to test the drilling machine, wherein the rock type of the rock sample is the same as the rock type fitted in the step S13, and recording the drilling pressure of the drilling machine when the drilling machine drills the rock sample.
3. The intelligent geological exploration data monitoring method based on big data according to claim 2, wherein the method comprises the following steps: the step S2 comprises the following steps:
Step S21, calculating injection density P of drilling fluid in the drilling process, wherein p=f/(g·h0·pi·r 2), F represents drilling pressure measured in step S14, g represents gravitational acceleration, H0 represents stratum thickness measured in step S12, pi is a circumference ratio, and r represents radius of the drill bit;
after the drilling fluid with the density of P is prepared, pumping the drilling fluid into the bottom of a well from a fluid injection hole in the drill rod;
S22, waiting for the liquid level of the drilling fluid to be stabilized at a wellhead, extracting a drilling fluid sample from the bottom of a well at intervals of a preset fixed time period T, and measuring the density of the sample by using a fluid measuring tool;
S23, calculating the rock stratum loss quality of the well drilling according to the following formula:
L＝(P0-P)·H1·π·r2
Wherein, representing the lost mass of the L rock stratum, P0 represents the density of the drilling fluid obtained in the step S22, P represents the injection density of the drilling fluid, H1 represents the drilling depth marked by a drill rod, r represents the radius of the drill bit, and P0> P.
4. A big data based intelligent monitoring system for geological exploration data, the system executing the big data based intelligent monitoring method for geological exploration data as claimed in claim 1, characterized in that the system comprises the following modules: the system comprises a rock stratum detection module, a drilling fluid analysis module, an offset parameter module, a liquid separation module and an offset restoration module;
The rock stratum detection module is used for detecting underground rock stratum by using a mineral detection method, acquiring rock stratum parameters below a drilling point, finding out a corresponding rock stratum type from a large database, and testing a drilling machine according to the rock stratum type;
the drilling fluid analysis module is used for injecting drilling fluid into the well, analyzing characteristic changes of the drilling fluid before and after injection, and calculating rock stratum parameters drilled by the drilling machine according to the characteristic changes;
The deviation parameter module is used for determining whether a drilling machine deviates according to the predicted rock stratum parameter and the actually measured rock stratum parameter, calculating the actual drilling depth according to the predicted drilling depth and the drilling speed of the drilling machine when the deviation exists, and calculating the drilling deviation according to the actual drilling depth;
The liquid separation module is used for acquiring the relation between drilling fluid parameters and offset restoration, dividing an offset area by using a baffle plate, injecting different drilling fluids into different divided spaces, and adjusting the working parameters of a drilling machine so as to restore drilling offset;
the offset repairing module is used for collecting drilling fluid in a well, calculating the repairing quantity of the drill bit by analyzing the density change of the drilling fluid before and after injection, and completing the offset repairing work when the repairing quantity is equal to the offset.
5. The intelligent geological exploration data monitoring system based on big data according to claim 4, wherein: the formation detection module includes: a seismic wave detection unit and a drilling machine testing unit;
The seismic wave detection unit is used for detecting a rock stratum underground by using a mineral detection method, and the mineral detection method comprises the following steps: seismic detection, electromagnetic detection, gravity measurement and magnetic measurement to obtain parameters of the underground rock stratum, wherein the parameters of the rock stratum comprise: formation hardness, formation thickness, formation density, and formation conductivity;
the drilling machine testing unit is used for analyzing the rock stratum type according to the measured rock stratum parameters and testing the drilling speed of the drilling machine according to the rock stratum type.
6. The intelligent geological exploration data monitoring system based on big data according to claim 5, wherein: the drilling fluid analysis module comprises: the device comprises a density analysis unit, a drilling fluid circulation unit and a characteristic extraction unit;
the density analysis unit is used for calculating the density of drilling fluid in the injection well according to the formation pressure;
The drilling fluid circulation unit is used for injecting drilling fluid into the well from the drill rod and extracting the used drilling fluid at the well head;
The characteristic extraction unit is used for collecting drilling fluid samples and measuring the density of the samples.
7. The intelligent geological exploration data monitoring system based on big data according to claim 6, wherein: the offset parameter module includes: a loss volume unit and an offset monitoring unit;
the loss volume unit is used for analyzing the rock stratum loss quality according to the drilling fluid characteristics and calculating rock stratum parameters;
The deviation monitoring unit is used for judging the deviation condition of the drill bit according to the rock stratum parameters and the drilling data and calculating the deviation amount;
The liquid separation module includes: a liquid baffle unit, a separation grouting unit and a parameter control unit;
The liquid baffle unit is used for dividing the well into a plurality of areas;
the separation grouting unit is used for injecting drilling fluids with different parameters in each region;
the parameter control unit is used for adjusting the working parameters of the drilling machine so that the drilling machine can continue to work.
8. The intelligent geological exploration data monitoring system based on big data according to claim 7, wherein: the offset repair module includes: a drilling fluid analysis unit and a drilling machine restoration unit;
the drilling fluid analysis unit is used for analyzing the rock stratum loss quality in different areas according to the density change before and after drilling fluid injection;
and the drilling machine repairing unit is used for calculating repairing quantity according to the rock stratum loss quality, and when the repairing quantity is equal to the offset, the partition plate is removed to complete repairing work.
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