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CN101982734A - Calculation method for underground magnetic navigation - Google Patents

Calculation method for underground magnetic navigation Download PDF

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CN101982734A
CN101982734A CN 201010523432 CN201010523432A CN101982734A CN 101982734 A CN101982734 A CN 101982734A CN 201010523432 CN201010523432 CN 201010523432 CN 201010523432 A CN201010523432 A CN 201010523432A CN 101982734 A CN101982734 A CN 101982734A
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程强强
胡博
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Nanchang Hangkong University
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Abstract

一种用于地下磁导航的计算方法,方法步骤为:步骤1、地下磁导航方法对采集的磁信号进行预处理;步骤2、建立磁源在任意空间一点产生的感应磁场强度计算模型;步骤3、从磁偶极子模型出发;步骤4、采用最小二乘线性拟合法,求出关系式中的待定系数;步骤5、由步骤3建立的磁源在空间任意一点产生的磁感应强度的计算模型;步骤6、利用三个磁通门式传感器采集的三对x,y,z的磁场强度;步骤7、可判断磁源相对于磁矢量传感器的位置。本发明的优点是:采用人工磁信标,导航距离远,角度测量精度高。该计算方法简单,计算机编程实现方便,运算效率高。

Figure 201010523432

A calculation method for underground magnetic navigation, the method steps are: step 1, the underground magnetic navigation method preprocesses the magnetic signal collected; step 2, establishing a calculation model of the induced magnetic field intensity generated by a magnetic source at any point in space; step 3. Starting from the magnetic dipole model; step 4, adopting the least squares linear fitting method to obtain the undetermined coefficient in the relational expression; step 5, the calculation of the magnetic induction intensity produced by the magnetic source established in step 3 at any point in space Model; step 6, the magnetic field strengths of three pairs of x, y, z collected by three fluxgate sensors; step 7, the position of the magnetic source relative to the magnetic vector sensor can be judged. The invention has the advantages of adopting artificial magnetic beacon, long navigation distance and high angle measurement precision. The calculation method is simple, the computer programming is convenient to realize, and the calculation efficiency is high.

Figure 201010523432

Description

一种用于地下磁导航的计算方法 A Calculation Method for Underground Magnetic Navigation

技术领域technical field

本发明涉及一种导航的计算方法,尤其涉及一种用于地下磁导航的计算方法。The invention relates to a calculation method for navigation, in particular to a calculation method for underground magnetic navigation.

背景技术Background technique

我国煤层气储量丰富,社会需求和增长极大,利用前景广阔。目前煤层气单井产量低、井数少。目前开发尝试表明:未来将形成以多分支水平井为主、直井为辅的模式。而我国多分支水平井技术基本是依赖国外公司,国内钻井技术不配套、专用工具及装备匮乏,用于规模性开发受到严重制约,所面临的关键问题是如何实现水平井的主支与直井的连通,研制地下磁导航系统即可解决这一问题,可以大幅提高油气田及煤层气开发产量,提高开采效率。而用于地下磁导航的计算方法是地下导航系统能否成功导航钻铤,实现两井的连通是重中之重。my country's coalbed methane reserves are abundant, the social demand and growth are huge, and the utilization prospects are broad. At present, the single well production of CBM is low and the number of wells is small. The current development attempts show that in the future, a model will be formed in which multi-branch horizontal wells will be the mainstay and vertical wells will be the supplementary. However, my country's multi-branch horizontal well technology basically relies on foreign companies. The domestic drilling technology is not matched, and special tools and equipment are lacking. The large-scale development is severely restricted. The key problem is how to realize the main branch of the horizontal well and the vertical well. The development of an underground magnetic navigation system can solve this problem, which can greatly increase the production of oil and gas fields and coalbed methane development, and improve the mining efficiency. The calculation method used for underground magnetic navigation is whether the underground navigation system can successfully navigate the drill collar, and the connection between the two wells is the most important thing.

发明内容Contents of the invention

本发明的目的在于提供一种用于地下磁导航的计算方法,能为实现水平井的主支与直井的连通提供一个有效的高新技术手段。The purpose of the present invention is to provide a calculation method for underground magnetic navigation, which can provide an effective high-tech means for realizing the communication between the main branch of the horizontal well and the vertical well.

本发明是这样来实现的,其特征是方法步骤为:The present invention is realized like this, it is characterized in that method step is:

步骤1、地下磁导航方法对采集的磁信号进行预处理:对由磁矢量传感器采集的原始磁信号好进行FIR数字滤波,滤除信号中包含的地磁信号和噪声,由于噪声信号一般均为高频信号,因此先让信号通过一个低通滤波器滤波高频噪声,然后再对信号进行FIR数字滤波,滤除地磁信号后,则可得到永磁短节产生的磁信号;Step 1, the underground magnetic navigation method preprocesses the collected magnetic signals: FIR digital filtering is performed on the original magnetic signals collected by the magnetic vector sensor to filter out the geomagnetic signals and noise contained in the signal, because the noise signals are generally high Therefore, let the signal pass through a low-pass filter to filter the high-frequency noise first, and then perform FIR digital filtering on the signal. After filtering out the geomagnetic signal, the magnetic signal generated by the permanent magnet joint can be obtained;

步骤2、在安培分子环流假说和毕奥-萨伐尔定律两个基本定律的基础上建立了磁偶极子模型,建立磁源在任意空间一点产生的感应磁场强度计算模型;Step 2. Establish a magnetic dipole model on the basis of the two basic laws of the Ampere molecular circulation hypothesis and the Biot-Savart law, and establish a calculation model for the induced magnetic field intensity generated by the magnetic source at any point in space;

步骤3、从磁偶极子模型出发,推导出距离与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式;Step 3, starting from the magnetic dipole model, deduce the relationship between the distance and the magnetic induction intensity in the x, y, and z directions generated by the magnetic source at any point in space;

步骤4、采用最小二乘线性拟合法,求出关系式中的待定系数;Step 4, adopting the least squares linear fitting method to obtain the undetermined coefficient in the relational expression;

步骤5,由步骤3建立的磁源在空间任意一点产生的磁感应强度的计算模型,采用取极值的方法反演出方位角,井斜角与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式;Step 5, the calculation model of the magnetic induction intensity generated by the magnetic source at any point in space established in step 3, using the method of taking extreme values to invert the azimuth, inclination angle and x, y, z generated by the magnetic source at any point in space The relational expression of the magnetic induction intensity in the direction;

步骤6,利用三个磁通门式传感器采集的三对x,y,z的磁场强度,运用多传感器数据融合技术可进一步提高角度测量精确度;Step 6, using the magnetic field strengths of three pairs of x, y, and z collected by three fluxgate sensors, using multi-sensor data fusion technology can further improve the accuracy of angle measurement;

步骤7,利用三个磁通门式传感器采集的三对x,y,z的磁场强度,可判断磁源相对于磁矢量传感器的位置。In step 7, the position of the magnetic source relative to the magnetic vector sensor can be judged by using the magnetic field strengths of three pairs of x, y, and z collected by the three fluxgate sensors.

本发明的优点是:采用人工磁信标,导航距离远,角度测量精度高。该计算方法简单,计算机编程实现方便,运算效率高。The invention has the advantages of adopting artificial magnetic beacon, long navigation distance and high angle measurement precision. The calculation method is simple, the computer programming is convenient to realize, and the calculation efficiency is high.

附图说明Description of drawings

图1是本发明磁源在空间任意一点产生的感应磁场强度。Fig. 1 is the induced magnetic field intensity generated by the magnetic source of the present invention at any point in space.

图2是本发明磁源偏离方向判断示意图。Fig. 2 is a schematic diagram of judging the deviation direction of the magnetic source according to the present invention.

图3是本发明地下磁导航系统基本原理图。Fig. 3 is a basic principle diagram of the underground magnetic navigation system of the present invention.

具体实施方式Detailed ways

本发明是这样实现的:The present invention is achieved like this:

步骤1、地下磁导航方法对采集的磁信号进行预处理:对由磁矢量传感器采集的原始磁信号好进行FIR数字滤波,滤除信号中包含的地磁信号和噪声,由于噪声信号一般均为高频信号,因此先让信号通过一个低通滤波器滤波高频噪声,然后再对信号进行FIR数字滤波,滤除地磁信号后,则可得到永磁短节产生的磁信号;Step 1, the underground magnetic navigation method preprocesses the collected magnetic signals: FIR digital filtering is performed on the original magnetic signals collected by the magnetic vector sensor to filter out the geomagnetic signals and noise contained in the signal, because the noise signals are generally high Therefore, let the signal pass through a low-pass filter to filter the high-frequency noise first, and then perform FIR digital filtering on the signal. After filtering out the geomagnetic signal, the magnetic signal generated by the permanent magnet joint can be obtained;

步骤2、在安培分子环流假说和毕奥-萨伐尔定律两个基本定律的基础上建立了磁偶极子模型,建立磁源在任意空间一点产生的感应磁场强度计算模型;如图1所示,计算磁源在空间任意一点产生的感应磁场强度时,把永磁短节看成一对磁偶极子,其在空间任意一点产生的磁场强度x,y,z三个方向分量                                                

Figure DEST_PATH_IMAGE001
Figure 695446DEST_PATH_IMAGE002
Figure DEST_PATH_IMAGE003
Step 2. Establish the magnetic dipole model on the basis of the two basic laws of Ampere's molecular circulation hypothesis and the Biot-Savart law, and establish a calculation model for the induced magnetic field intensity generated by the magnetic source at any point in space; as shown in Figure 1 It shows that when calculating the induced magnetic field intensity generated by the magnetic source at any point in space, the permanent magnet short joint is regarded as a pair of magnetic dipoles, and the magnetic field intensity generated at any point in space has three direction components x, y, and z
Figure DEST_PATH_IMAGE001
,
Figure 695446DEST_PATH_IMAGE002
,
Figure DEST_PATH_IMAGE003
:

Figure 674904DEST_PATH_IMAGE004
Figure 674904DEST_PATH_IMAGE004

其中,

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Figure DEST_PATH_IMAGE010
,in,
Figure 923482DEST_PATH_IMAGE006
,
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,
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,

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是永磁短节转动的角频率,x,y,z为永磁短节中心到空间任意点三个方向的坐标。
Figure DEST_PATH_IMAGE012
is the angular frequency of the rotation of the permanent magnet sub, and x, y, z are the coordinates in three directions from the center of the permanent magnet sub to any point in space.

步骤3、从磁偶极子模型出发,推导出距离与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式;磁源中心与磁矢量传感器之间的距离与y方向的磁场强度的三分之一次方根之间存在一个线性的关系即

Figure DEST_PATH_IMAGE014
Figure 352638DEST_PATH_IMAGE014
Step 3. Starting from the magnetic dipole model, deduce the relationship between the distance and the magnetic induction intensity in the x, y, and z directions generated by the magnetic source at any point in space; the distance between the center of the magnetic source and the magnetic vector sensor and the y direction There is a linear relationship between the third root of the magnetic field strength that is
Figure DEST_PATH_IMAGE014
Figure 352638DEST_PATH_IMAGE014

步骤4、采用最小二乘线性拟合法,求出关系式中的待定系数;采用最小二乘法对试验数据曲线进行拟合可求得关系式中待定系数A=38.28,B=0.2192,故磁源中心与磁矢量传感器之间的距离关系式为:

Figure DEST_PATH_IMAGE016
Step 4. Use the least squares linear fitting method to find the undetermined coefficients in the relational expression; use the least squares method to fit the test data curve to obtain the undetermined coefficients in the relational expression A=38.28, B=0.2192, so the magnetic source The distance relationship between the center and the magnetic vector sensor is:
Figure DEST_PATH_IMAGE016
.

步骤5,由步骤3建立的磁源在空间任意一点产生的磁感应强度的计算模型,采用取极值的方法反演出方位角,井斜角与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式;采用取极值的方法反演出方位角与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式为:Step 5, the calculation model of the magnetic induction intensity generated by the magnetic source at any point in space established in step 3, using the method of taking extreme values to invert the azimuth, inclination angle and x, y, z generated by the magnetic source at any point in space The relational expression of the magnetic induction intensity in the direction; the relational expression of the magnetic induction intensity in the x, y, and z directions generated by the azimuth and the magnetic source at any point in space by taking the extreme value method is:

Figure DEST_PATH_IMAGE018
,其中
Figure DEST_PATH_IMAGE020
Figure DEST_PATH_IMAGE022
是权利3所述的磁矢量传感器采集的磁源产生的x方向磁感应强度和z方向磁感应强度。
Figure DEST_PATH_IMAGE018
,in
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,
Figure DEST_PATH_IMAGE022
It is the x-direction magnetic induction intensity and the z-direction magnetic induction intensity generated by the magnetic source collected by the magnetic vector sensor described in claim 3.

由对称性可知井斜角与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式为:From the symmetry, it can be seen that the relationship between the inclination angle and the magnetic induction intensity in the x, y, and z directions generated by the magnetic source at any point in space is:

Figure DEST_PATH_IMAGE024
,其中
Figure 768576DEST_PATH_IMAGE020
是权利3所述的磁矢量传感器采集的磁源产生的x方向磁感应强度和y方向磁感应强度。
Figure DEST_PATH_IMAGE024
,in
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, is the x-direction magnetic induction intensity and the y-direction magnetic induction intensity generated by the magnetic source collected by the magnetic vector sensor described in claim 3.

步骤6,利用三个磁通门式传感器采集的三对x,y,z的磁场强度,运用多传感器数据融合技术可进一步提高角度测量精确度;Step 6, using the magnetic field strengths of three pairs of x, y, and z collected by three fluxgate sensors, using multi-sensor data fusion technology can further improve the accuracy of angle measurement;

步骤7,利用三个磁通门式传感器采集的三对x,y,z的磁场强度,可判断磁源相对于磁矢量传感器的位置,如图2所示,根据磁矢量传感器中三个磁通门式传感器是在同一轴心上相差7.5°角度布置的,当传感器与磁源正对时,其中的一个磁通门传感器与磁源始正对的,一个向左偏移7.5度,一个向右偏移7.5度。则任意点p在三个传感器所在的直角坐标系y方向产生的磁场强度为Step 7, using the magnetic field strengths of three pairs of x, y, and z collected by three fluxgate sensors, the position of the magnetic source relative to the magnetic vector sensor can be judged, as shown in Figure 2, according to the three magnetic field in the magnetic vector sensor The fluxgate sensors are arranged on the same axis with an angle difference of 7.5°. When the sensor is facing the magnetic source, one of the fluxgate sensors is facing the magnetic source, one is offset to the left by 7.5 degrees, and the other is Offset to the right by 7.5 degrees. Then the magnetic field intensity generated by any point p in the y direction of the Cartesian coordinate system where the three sensors are located is

Figure DEST_PATH_IMAGE028
Figure DEST_PATH_IMAGE028

因此,可根据这三个传感器采集的数据一个周期内,哪个传感器的磁感应强度的最小,则说明钻头是偏向哪个传感器,从而判断钻头的偏离正常轨迹的方向。Therefore, according to the data collected by these three sensors within one cycle, which sensor has the smallest magnetic induction intensity indicates which sensor the drill bit is biased to, thereby judging the direction of the drill bit's deviation from the normal track.

经过上述步骤就可计算得到钻头与磁矢量传感器的距离,相对位置,然后再通过计算机显示出来,地面上的人就可以知道任意时刻钻头的在水平井中的位置。Through the above steps, the distance and relative position between the drill bit and the magnetic vector sensor can be calculated, and then displayed by the computer, and the people on the ground can know the position of the drill bit in the horizontal well at any time.

如图3所示,钻头1固定连接永磁短节2,磁矢量传感器4接收永磁短节2的磁信号,由磁矢量传感器4采集的磁信号=地磁信号 +磁源产生的信号+噪声,所以,首先对采集的磁信号进行数字滤波滤除地磁信号和噪声得到由磁源产生的短节信号。对经过预处理的信号采用上述步骤5与步骤6推导的距离和角度计算公式可得到磁源相对于磁矢量传感器的距离和角度,再使用步骤7所述的多传感器数据融合技术可求得一个更为精确的角度值,最后将得到的距离和角度传给地面上的计算机,计算机分析出导航轨迹3,用于导航钻铤的定向钻进。As shown in Figure 3, the drill bit 1 is fixedly connected to the permanent magnet sub-joint 2, and the magnetic vector sensor 4 receives the magnetic signal of the permanent magnet sub-joint 2. The magnetic signal collected by the magnetic vector sensor 4 = geomagnetic signal + signal generated by the magnetic source + noise , therefore, first digitally filter the collected magnetic signal to filter out the geomagnetic signal and noise to obtain the short section signal generated by the magnetic source. Using the distance and angle calculation formulas derived in steps 5 and 6 above for the preprocessed signal, the distance and angle of the magnetic source relative to the magnetic vector sensor can be obtained, and then the multi-sensor data fusion technology described in step 7 can be used to obtain a The more accurate angle value is finally transmitted to the computer on the ground with the obtained distance and angle, and the computer analyzes the navigation trajectory 3 for directional drilling of the navigation drill collar.

Claims (1)

1.一种用于地下磁导航的计算方法,其特征是方法步骤为:1. A calculation method for underground magnetic navigation, characterized in that the method steps are: 步骤1、地下磁导航方法对采集的磁信号进行预处理:对由磁矢量传感器采集的原始磁信号好进行FIR数字滤波,滤除信号中包含的地磁信号和噪声,由于噪声信号一般均为高频信号,因此先让信号通过一个低通滤波器滤波高频噪声,然后再对信号进行FIR数字滤波,滤除地磁信号后,则可得到永磁短节产生的磁信号;Step 1, the underground magnetic navigation method preprocesses the collected magnetic signals: FIR digital filtering is performed on the original magnetic signals collected by the magnetic vector sensor to filter out the geomagnetic signals and noise contained in the signal, because the noise signals are generally high Therefore, let the signal pass through a low-pass filter to filter the high-frequency noise first, and then perform FIR digital filtering on the signal. After filtering out the geomagnetic signal, the magnetic signal generated by the permanent magnet joint can be obtained; 步骤2、在安培分子环流假说和毕奥-萨伐尔定律两个基本定律的基础上建立了磁偶极子模型,建立磁源在任意空间一点产生的感应磁场强度计算模型;Step 2. Establish a magnetic dipole model on the basis of the two basic laws of the Ampere molecular circulation hypothesis and the Biot-Savart law, and establish a calculation model for the induced magnetic field intensity generated by the magnetic source at any point in space; 步骤3、从磁偶极子模型出发,推导出距离与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式;Step 3, starting from the magnetic dipole model, deduce the relationship between the distance and the magnetic induction intensity in the x, y, and z directions generated by the magnetic source at any point in space; 步骤4、采用最小二乘线性拟合法,求出关系式中的待定系数;Step 4, adopting the least squares linear fitting method to obtain the undetermined coefficient in the relational expression; 步骤5,由步骤3建立的磁源在空间任意一点产生的磁感应强度的计算模型,采用取极值的方法反演出方位角,井斜角与磁源在空间任意一点产生的x,y,z方向的磁感应强度的关系式;Step 5, the calculation model of the magnetic induction intensity generated by the magnetic source at any point in space established in step 3, using the method of taking extreme values to invert the azimuth, inclination angle and x, y, z generated by the magnetic source at any point in space The relational expression of the magnetic induction intensity in the direction; 步骤6,利用三个磁通门式传感器采集的三对x,y,z的磁场强度,运用多传感器数据融合技术可进一步提高角度测量精确度;Step 6, utilizing the magnetic field strengths of three pairs of x, y, and z collected by the three fluxgate sensors, using multi-sensor data fusion technology can further improve the angle measurement accuracy; 步骤7,利用三个磁通门式传感器采集的三对x,y,z的磁场强度,可判断磁源相对于磁矢量传感器的位置。In step 7, the position of the magnetic source relative to the magnetic vector sensor can be judged by using the magnetic field strengths of three pairs of x, y, and z collected by the three fluxgate sensors.
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Cited By (8)

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CN102998708A (en) * 2011-05-25 2013-03-27 利宇Tec株式会社 Apparatus and method for detecting location of underground facility
CN104806166A (en) * 2015-03-25 2015-07-29 宁夏煤炭勘察工程公司 Butt joint method for ground multi-branch horizontal well and underground horizontal drilling far end
CN105928511A (en) * 2016-04-18 2016-09-07 哈尔滨工业大学 Positioning and orientation method based on double magnetic beacons
CZ307060B6 (en) * 2016-10-31 2017-12-20 České vysoké učení technické v Praze - Fakulta elektrotechnická A vehicle presence detector
CN113124882A (en) * 2021-06-17 2021-07-16 天津大学 Multi-dipole magnetic source inversion positioning method under condition of unknown background magnetic field
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CN114749700A (en) * 2021-12-10 2022-07-15 盐城工学院 Magnetic auxiliary control method for straightness error of non-magnetic material gun drill processing
CN115963038A (en) * 2022-12-14 2023-04-14 中国科学院空间应用工程与技术中心 Magnetic particle motion track measuring system and method based on space microgravity condition

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Cited By (12)

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CN102998708A (en) * 2011-05-25 2013-03-27 利宇Tec株式会社 Apparatus and method for detecting location of underground facility
CN102998708B (en) * 2011-05-25 2016-01-20 利宇Tec株式会社 For detecting equipment and the method for location of underground facility
CN104806166A (en) * 2015-03-25 2015-07-29 宁夏煤炭勘察工程公司 Butt joint method for ground multi-branch horizontal well and underground horizontal drilling far end
CN105928511A (en) * 2016-04-18 2016-09-07 哈尔滨工业大学 Positioning and orientation method based on double magnetic beacons
CN105928511B (en) * 2016-04-18 2018-11-23 哈尔滨工业大学 A kind of positioning and orienting method based on double magnetic beacons
CZ307060B6 (en) * 2016-10-31 2017-12-20 České vysoké učení technické v Praze - Fakulta elektrotechnická A vehicle presence detector
US20220120169A1 (en) * 2020-10-16 2022-04-21 Halliburton Energy Services, Inc. Use of residual gravitational signal to perform anomaly detection
CN113124882A (en) * 2021-06-17 2021-07-16 天津大学 Multi-dipole magnetic source inversion positioning method under condition of unknown background magnetic field
CN113124882B (en) * 2021-06-17 2021-09-28 天津大学 A method for inversion and localization of multi-magnetic dipole magnetic sources in the case of unknown background magnetic field
CN114749700A (en) * 2021-12-10 2022-07-15 盐城工学院 Magnetic auxiliary control method for straightness error of non-magnetic material gun drill processing
CN115963038A (en) * 2022-12-14 2023-04-14 中国科学院空间应用工程与技术中心 Magnetic particle motion track measuring system and method based on space microgravity condition
CN115963038B (en) * 2022-12-14 2023-07-28 中国科学院空间应用工程与技术中心 System and method for measuring magnetic particle trajectory based on space microgravity conditions

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