Microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks under oil and gas well

Abstract

The utility model relates to an intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks under an oil and gas well, which relates to the field of oil and gas exploitation and comprises a high-precision data acquisition module, a main control module, a storage module, a Beidou / GPS module, a 5G communication module, a LoRa communication module and a power management module. The acquisition device can sense and acquire weak micro-seismic signals transmitted to the near ground, continuously acquire the micro-seismic signals in a full-waveform manner, and transmit the acquired micro-seismic signals to a computing host or a cloud platform in a working site in real time for identification and feature analysis of the micro-seismic signals, so that the accuracy of the micro-seismic signals is improved. The reservoir fracture net is subjected to three-dimensional positioning and research of a fracture evolution mechanism and the like, field operators can accurately master formation of the reservoir fracture net of low-permeability and unconventional oil and gas reservoirs in real time, the volume fracturing transformation effect is evaluated in time, and the method has important significance on yield increase and efficiency improvement of oil and gas fields.

Description

Technical Field

[0001] The present application relates to the field of oil and gas production, and in particular to an intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells. Background Art

[0002] In the development of low-permeability oil and gas reservoirs, such as shale and tight formations, improving reservoir permeability and conductivity is key to increasing oil and gas production and efficiency. To this end, volumetric fracturing is often used. By injecting water or gas into the reservoir, complex fracture systems are created. These fractures serve as pathways for oil and gas production, significantly improving reservoir performance.

[0003] However, the expansion of reservoir fractures during volume fracturing generates microseismic signals that contain important information about fracture evolution, such as fracture type, orientation, and size. However, due to the heterogeneity and anisotropy of the reservoir, microseismic signals are easily attenuated as they propagate through the rock, and their inherently low energy makes it difficult for near-surface monitoring equipment to effectively perceive and collect these weak signals. Summary of the Invention

[0004] In order to solve the problem in related technologies that microseismic signals are difficult to perceive and collect, the present application provides an intelligent microseismic signal collection device for on-site monitoring of reservoir cracks in oil and gas wells.

[0005] The microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks in oil and gas wells provided in this application adopts the following technical solutions:

[0006] An intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells includes a high-precision data acquisition module, a main control module, a storage module, a Beidou / GPS module, a 5G communication module, a LoRa communication module, and a power management module, including:

[0007] The high-precision data acquisition module includes an analog signal conditioning circuit with analog signal amplification and filtering functions to convert analog signals into high-precision ADCs for digital signals;

[0008] The main control module is the control core of the system and adopts the Rockchip ARM RK3568J processor as the main control chip; it controls the high-precision data acquisition module to collect microseismic signals and transmit them to the main control module for microseismic signal processing; it controls the SDD solid-state hard disk storage module to store the collected microseismic signals in the SSD solid-state hard disk storage module; it reads the second pulse and positioning information of the Beidou / GPS module to perform high-precision synchronization of the system's clock and Beidou / GPS clock position information; it controls the 5G module to perform long-distance data transmission, and controls the LoRa communication module to perform local area networking, broadcast commands and data transmission at the work site; and it controls the power supply module and manages battery charging and discharging.

[0009] The power supply module includes a system protection circuit, a battery and a mains power supply and charging and discharging circuit.

[0010] In one embodiment, the high-precision data acquisition module includes an analog signal conditioning circuit with analog signal amplification and filtering functions and a high-precision ADC module that converts analog signals into digital signals. The analog signal conditioning circuit transmits the microseismic signal sensed by the detector through a BNC interface. The high-precision ADC uses an LTC2500-32 chip with 32-bit sampling accuracy and is connected to the main control module RK3568J through an SPI interface.

[0011] In one embodiment, the microseismic signal sensed by the detector is input into the analog signal conditioning circuit through the BNC interface for amplification and filtering. The analog signal after amplification and filtering is transmitted to the high-precision ADC module, the analog signal is converted into a digital signal, and transmitted to the main control module RK3568J through the SPI interface for microseismic signal processing, storage and transmission.

[0012] In one embodiment, the storage module uses an onboard industrial-grade SSD solid-state drive with an M.2 interface, pluggable, 2T capacity, and expandable capacity to store microseismic signals collected by the high-precision data acquisition module.

[0013] In one embodiment, the Beidou / GPS module uses the ATGM332D-5T31 module, which has a timing accuracy of less than 30 nanometers, provides clock and positioning information for the main control module, can convert the coordinate position of the equipment arranged in the industrial site, and provide three-dimensional coordinates for subsequent array processing. At the same time, the main control module receives the second pulse signal of the Beidou / GPS module for the system's high-precision synchronization clock.

[0014] In one embodiment, the 5G communication module and the LoRa communication module constitute two communication modes of the microseismic signal acquisition device, namely the long-distance communication mode and the local area network mode. The main control module selects the 5G communication module for the long-distance communication mode or the local area network mode through the LoRa communication module according to the data volume and computing requirements.

[0015] In one embodiment, the 5G communication module uses the FIBOCOM FM650-CN-00 module with an onboard M.2 interface. The main control module transmits the microseismic signals collected by the high-precision data acquisition module to the cloud platform through the 5G communication module for large-scale data storage and calculation.

[0016] In one embodiment, the LoRa communication module is used in a local area network at an oil and gas field production site. The main control module transmits the microseismic signals collected by the high-precision data acquisition module to the on-site edge computing server through the LoRa communication module to perform three-dimensional positioning calculations of reservoir cracks.

[0017] In one embodiment, the power management module includes a system protection circuit, a battery and mains power supply and charging and discharging. The power control and battery charging and discharging management program of the main control module controls the above three parts to ensure that the power supply of the intelligent acquisition device is normal and does not shut down during operation.

[0018] In one embodiment, the microseismic signal intelligent acquisition equipment is locally networked at the oil and gas field production operation site, and several intelligent acquisition devices are arranged at the oil and gas field production operation site to form an array. The collected array signals are used for calculation and analysis to obtain three-dimensional positioning information of reservoir cracks and the evolution mechanism of rupture cracks.

[0019] In summary, this application includes at least one of the following beneficial technical effects:

[0020] 1. This utility model's intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells is designed with a high-precision data acquisition module. It can continuously and in real time acquire the weak microseismic signals emitted by reservoir cracks in the well and transmitted to the near-surface surface at the oil and gas production site.

[0021] 2. The BeiDou / GPS module of this utility model can provide high-precision clock and positioning information. The positioning information can be used to establish the three-dimensional coordinates of the intelligent data collection equipment. The provided second pulse signal can be used to establish a high-precision synchronous clock of the system, ensuring the clock synchronization of various intelligent data collection devices at the oil and gas production site.

[0022] 3. This utility model's intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells utilizes a communication solution that combines 5G and LoRa. At the oil and gas production site, several intelligent acquisition devices use LoRa communication to form a local area network. The collected data can be transmitted to an on-site computing server via LoRa short-distance communication or to a cloud platform via 5G long-distance communication. Flexible and reliable data transmission methods can be selected based on operational needs.

[0023] 4. The present invention's intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells can acquire acoustic emission signals of reservoir cracks in real time, continuously, and in full waveform form. It analyzes the characteristics and properties of the acquired microseismic signals to obtain information such as the three-dimensional positioning of reservoir cracks and the evolution mechanism of rupture cracks. This allows on-site operators to accurately understand the formation of reservoir fracture networks, timely evaluate the effectiveness of volumetric fracturing, and promote increased production and efficiency in oil and gas fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the overall structure of the intelligent collection device of an embodiment of the present application.

[0025] Explanation of the accompanying symbols: 1. High-precision data acquisition module; 1a. Analog signal conditioning circuit; 1b. High-precision analog-to-digital converter; 2. Main control module; 3. Storage module; 4. Beidou / GPS module; 5. 5G communication module; 6. LoRa communication module; 7. Power management module; 7a. System protection circuit; 7b. Battery; 7c. AC power supply and charge and discharge management. DETAILED DESCRIPTION

[0026] The present application is further described in detail below with reference to the accompanying drawings.

[0027] The present application discloses an intelligent microseismic signal acquisition device for field monitoring of reservoir cracks in oil and gas wells. Figure 1 The intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells includes a high-precision data acquisition module 1, a storage module 3, a Beidou / GPS module 4, a 5G communication module 5, a LoRa communication module 6, a power management module 7 and a main control module 2.

[0028] Reference Figure 1 The high-precision data acquisition module 1 consists of an analog signal conditioning circuit 1a and a high-precision analog-to-digital converter 1b. The analog signal conditioning circuit 1a receives microseismic signals from the geophone via a BNC interface. This circuit amplifies and filters the signal to enhance signal quality and suppress noise. The processed analog signal is then fed into the high-precision analog-to-digital converter 1b for digitization.

[0029] Reference Figure 1 Analog signal conditioning circuit 1a connects to the detector via a BNC connector to ensure stable signal transmission. Analog signal conditioning circuit 1a and high-precision analog-to-digital converter 1b are connected using a network cable or low-noise cable. Analog signal conditioning circuit 1a sends the processed analog signal directly to high-precision analog-to-digital converter 1b.

[0030] Reference Figure 1 The high-precision analog-to-digital converter 1b is connected to the main control module 2 via an SPI interface to achieve fast and accurate transmission of digital signals. The high-precision analog-to-digital converter 1b uses the LTC2500-32 chip, which has a 32-bit sampling accuracy and can ensure high-precision data acquisition.

[0031] Reference Figure 1The storage module 3 uses an onboard M.2 interface SSD solid-state drive to provide large-capacity and high-speed data storage capabilities. The storage module 3 is connected to the main control module 2 via a high-speed bus to ensure real-time data acquisition and storage efficiency.

[0032] Reference Figure 1 The BeiDou / GPS module 4 uses the ATGM332D-5T31 module, which provides high-precision pulse-per-second signals and position information for system clock synchronization and positioning. The BeiDou / GPS module 4 and the main control module 2 transmit pulse-per-second and positioning information through the serial port or I2C interface.

[0033] Reference Figure 1 5G communication module 5 uses the FIBOCOM FM650-CN-00 module, which supports 5G networks and enables long-distance, high-speed data transmission to the cloud platform. The 5G communication module 5 and the main control module 2 control data transmission via the UART or USB interface. The 5G communication module 5 and the cloud platform achieve remote data transmission via the 5G network.

[0034] Reference Figure 1 The LoRa communication module 6 is used for on-site local area networking, enabling short-range data transmission to the on-site edge computing server. The LoRa communication module 6 and the main control module 2 control data transmission via the UART or USB interface. The LoRa communication module 6 and the on-site edge computing server perform short-range data transmission via LoRa wireless signals.

[0035] Reference Figure 1 The power management module 7, which includes a system protection circuit 7a, a battery 7b, and a mains power supply and charge / discharge management system 7c, ensures stable system operation and provides circuit protection. The power management module 7 provides stable power to all modules in the system and is directly connected to the power input terminals of each module via power cables. The system protection circuit 7a and the main control module 2 monitor circuit status and send abnormality signals to the main control module, providing system fault protection.

[0036] Reference Figure 1 The main control module 2, which uses an ARM processor, is responsible for controlling the entire data acquisition device. The ARM processor receives digital signals from the high-precision data acquisition module 1 and performs further processing, timing and positioning, clock synchronization, data storage, and data transmission control. It also reads the second pulse and positioning information from the Beidou / GPS module 4 and controls data transmission from the 5G communication module 5 and the LoRa communication module 6.

[0037] Reference Figure 1The main control module 2 receives digital signals from the high-precision data acquisition module 1 via the SPI interface. The main control module 2 connects to the storage module 3 via a high-speed bus (such as SATA or PCIe, depending on the SSD interface type) to implement data storage control. The main control module 2 reads pulse-second and positioning information from the Beidou / GPS module 4 via a serial port or I2C interface. The main control module 2 controls data transmission with the 5G communication module 5 and the LoRa communication module 6 via a UART or USB interface.

[0038] The implementation principle of the intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells in the embodiment of the present application is as follows: the detector captures the microseismic signal and sends it to the high-precision data acquisition module 1 through the BNC interface. The analog signal conditioning circuit 1a amplifies and filters the signal, and then sends it to the high-precision analog-to-digital converter 1b for digitization. The digitized signal is transmitted to the main control module 2 through the SPI interface for further processing, timing, and positioning. The main control module 2 reads the second pulse and positioning information of the Beidou / GPS module 4 to achieve clock synchronization and position positioning. The storage module 3 stores the processed microseismic signal data.

[0039] Depending on the needs, the main control module 2 transmits data to the cloud platform through the 5G communication module 5, or transmits it to the on-site edge computing server through the LoRa communication module 6. The power management module 7 provides a stable power supply for the entire system and ensures circuit safety.

[0040] Through the above method, the acquisition device realizes the efficient and accurate acquisition and transmission of on-site microseismic signals of reservoir cracks in oil and gas wells, providing important data support for the three-dimensional positioning of reservoir cracks and the analysis of the evolution mechanism of rupture cracks.

[0041] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. An intelligent microseismic signal acquisition device for on-site monitoring of reservoir cracks in oil and gas wells, characterized by include: A high-precision data acquisition module (1) includes an analog signal conditioning circuit (1a) having analog signal amplification and filtering functions and a high-precision analog-to-digital converter (1b) for converting analog signals into digital signals, wherein the analog signal conditioning circuit (1a) receives microseismic signals sensed by a detector through a BNC interface, and after amplification and filtering, sends the analog signals to the high-precision analog-to-digital converter (1b), which is connected to a main control module (2) through an SPI interface to realize digitization of the microseismic signals; A storage module (3) for storing microseismic signals collected by the high-precision data acquisition module (1); The BeiDou / GPS module (4) is used to provide a pulse-per-second signal as a high-precision synchronous clock and provide location information to the main control module (2) to ensure the system's clock synchronization and position positioning; A 5G communication module (5) is used to transmit the collected microseismic signals to a cloud platform over a long distance via a 5G network, thereby enabling storage and calculation of large amounts of data; LoRa communication module (6), used for local area networking at the oil and gas field mining operation site, transmitting the collected microseismic signals to the on-site edge computing server for close-range data transmission and calculation; A power management module (7), including a system protection circuit (7a), a storage battery (7b), and a mains power supply and charge-discharge management (7c), is used to provide a stable power supply and circuit protection for the entire system, ensuring that the intelligent acquisition device does not shut down during operation; The main control module (2) uses an ARM processor to control the high-precision data acquisition module (1) to collect data and receive the digital signal transmitted by the module for further processing, timing and positioning, clock synchronization, and data storage and data transmission control; at the same time, the main control module (2) also controls the data storage of the storage module (3), reads the second pulse and positioning information of the Beidou / GPS module (4), and controls the data transmission of the 5G communication module (5) and the LoRa communication module (6).

2. The microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks in oil and gas wells according to claim 1 is characterized by: The high-precision analog-to-digital converter (1b) in the high-precision data acquisition module (1) adopts an LTC2500-32 chip and has a 32-bit sampling accuracy.

3. The microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks in oil and gas wells according to claim 1 is characterized by: The storage module (3) uses an onboard SSD solid state drive with an M.2 interface, and its capacity is expandable.

4. The microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks in oil and gas wells according to claim 1 is characterized by: The Beidou / GPS module (4) adopts the ATGM332D-5T31 module and has a timing accuracy of less than 30 nanometers.

5. The microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks in oil and gas wells according to claim 1 is characterized by: The 5G communication module (5) adopts the FIBOCOM FM650-CN-00 module with an onboard M.2 interface.

6. The microseismic signal intelligent acquisition device for on-site monitoring of reservoir cracks in oil and gas wells according to claim 1 is characterized by: The plurality of intelligent acquisition devices form a local area network at the oil and gas field production site, and use the acquired array signals for calculation and analysis to obtain three-dimensional positioning information of reservoir cracks and the evolution mechanism of rupture cracks.

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