23 results about "Logging while drilling" patented technology

This utility model discloses a remote gamma measurement device for logging while drilling. The remote gamma measurement device includes: a pressure-resistant cylinder, a mounting frame, a main control and power board, a gamma sensor, a metal shielding sleeve, a shielding layer, a first connector assembly, and a second connector assembly. The mounting frame is located inside the pressure-resistant cylinder; the main control and power board is located on the mounting frame; the gamma sensor is located on the mounting frame and electrically connected to the main control and power board, and the gamma sensor includes a photomultiplier tube and a NaI crystal; the metal shielding sleeve is fitted over the photomultiplier tube; the shielding layer is located inside the pressure-resistant cylinder and is used to shield the peripheral area of ​​the gamma sensor; the first connector assembly is located on the pressure-resistant cylinder and electrically connected to the main control and power board; the second connector assembly is located on the pressure-resistant cylinder and electrically connected to the gamma sensor. This utility model's remote gamma measurement device for logging while drilling can reduce the influence of external signals on the photomultiplier tube and improve the reliability of the remote gamma measurement device for logging while drilling.

This invention discloses a cross-well shear wave velocity prediction method based on GR lithology bin alignment. Addressing the problems of large inter-well lithological differences, inconsistent engineering parameter distributions, and insufficient utilization of multi-source features in existing cross-well prediction methods, this method first collects drilling engineering parameters and logging data from multiple wells. After preprocessing, the data is divided into training and test sets using the well retention method. The optimal GR lithology bin alignment strategy is selected from the training set to achieve inter-well lithology alignment. Based on this, the absolute and relative deviation characteristics of engineering parameters are calculated, and drilling logging features such as P-wave transit time and density are integrated to construct a complete prediction feature set. Finally, the LightGBM regression algorithm is used to establish a cross-well shear wave velocity prediction model, which is optimized using an early stopping mechanism before outputting the prediction results. Practical application shows that the coefficient of determination R0 is significantly improved. 2 The accuracy reached 0.91, which is more than 18% higher than that of traditional modeling methods, and can effectively achieve high-precision and rapid prediction under the condition of no shear wave logging in new wells.

A vibration measurement system and method for logging while drilling, belonging to the field of oil and gas drilling engineering technology and equipment, includes: a microcontroller for acquiring acceleration signals detected by an accelerometer, processing the data, and storing it in a Flash memory module, and communicating with a host computer via a communication interface; a power supply module for powering the entire system; an accelerometer for measuring the vibration experienced by the drilling equipment during logging while drilling and transmitting the detected acceleration signals to the microcontroller; a Flash memory module for storing the measured acceleration data and other important information; and a communication interface for enabling data communication between the microcontroller and the host computer. This invention allows for use in high-temperature drilling environments, expanding the system's application range; it possesses sufficient stability and anti-interference capabilities, effectively coping with complex downhole environments; and it enables efficient and stable data storage and transmission.

This invention discloses a method for detecting the location of casing wells based on ultra-deep electromagnetic logging while drilling, belonging to the field of oil and gas field development. The method includes the following steps: s1, selecting and determining the use of ultra-deep harmonic anisotropic attenuation (UHAA) signals for casing well location detection; s2, creating a chart showing the relationship between the casing well location and the UHAA signal; s3, establishing the relationship between single-point response and casing well location; s4, selecting single-point or multi-point determination methods based on field conditions to obtain the UHAA signal, and then preliminarily determining the casing well location and its azimuth angle based on s2 and s3; s5, performing layered formation influence correction and wellbore non-parallelism influence correction on the casing well location and azimuth angle preliminarily determined in s4, ultimately determining the precise location and azimuth angle of the casing well. This invention can accurately determine the location of casing wells, providing important support for horizontal well neighbor well identification and collision prevention monitoring in oil and gas field development.

An earth-boring tool system may include a drill string and at least one or more sensors. The earth-boring tool system may receive field drilling data, logging while drilling (LWD) data, and data indicative of wear of at least part of a drilling tool, train a predictive bit wear model based on the received data, fit a wear trajectory regression curve to a latent space representation of the received data, and generate one or more predicted dull states of the at least one drilling tool based, at least in part, on the predictive bit wear model and the wear trajectory regression curve. The earth-boring tool system may also generate one or more similarity scores responsive to comparing the first drilling data to target data and filter the first drilling data or a latent space representation of the first drilling data responsive to the one or more similarity scores.

This invention discloses an integrated logging-while-drilling (LOD) and measurement drill string assembly, relating to the field of oil and gas drilling engineering technology. It provides a series connection scheme for core protective drill string components, offering two switchable configurations: one with a mud motor and one without. Both configurations consist of an azimuth density neutron logging sub, a bidirectional communication power supply sub, an acoustic logging sub, a resistivity logging sub, an upper connecting sub, a flexible sub, a lower connecting sub, an azimuth gamma logging sub, and a steering actuator connected in series according to a fixed logic. The configuration with a mud motor only requires adding a mud motor at a designated location to complete the structural switch, without changing the series connection of the remaining subs. This assembly scheme is applicable to various drilling scenarios such as offshore exploration and development, deepwater drilling, complex directional wells, highly deviated wells, and horizontal wells. It enables integrated operations of geological steering, formation evaluation, and wellbore stability analysis during drilling, effectively improving drilling efficiency and reducing operational risks.

An effective identification method of continental interbedded shale oil and gas reservoir sandstone relates to the field of unconventional oil and gas exploration, and solves the problem that the existing interbedded shale oil sandstone target layer has no conventional logging curve exploration and development needs a large number of drilling investment and high risk. The method comprises the following steps: S1: extracting the full well section gamma and resistivity curves of Fuyu oil layer wells; for the Fuyu oil layer straight and inclined wells in the evaluation or development wells, extracting the full well section casing behind amplitude gamma and casing before standard 2.5 meter gradient electrode curves; fitting the casing behind amplitude gamma and the casing before conventional gamma and doing linear regression to obtain the fitted gamma curve; for the Fuyu oil layer horizontal wells, combining the gamma curve in the logging while drilling with the dual lateral curve in the resistivity curve to form a graph; S2: identifying and interpreting the interbedded shale oil and gas reservoir sandstone of the Fuyu oil layer well; determining the effective oil-bearing sandstone potential layer. The effective identification method realizes the interpretation data from nothing to something, greatly reduces the investment and investment risk.

The application discloses a drilling risk prediction method based on geophysical data and related equipment, and the method comprises the following steps: collecting geophysical parameters in a seabed drilling process in real time by using a logging while drilling device; preprocessing the geophysical parameters to generate target logging data; constructing the target logging data into a spatial sequence with depth as an axis, training a dynamic extrapolation model based on the spatial sequence of the drilled stratum by using a preset time sequence prediction algorithm; inputting the real-time target logging data into the dynamic extrapolation model to predict stratum parameters of the un-drilled stratum within a preset distance in front of the drill bit; and coupling the stratum parameters with a preset geomechanical model to generate a dynamic safe drilling window containing a safe range of drilling parameters. The application can effectively predict the geological anomaly in front, significantly improves the safety and operation efficiency of seabed oil and gas drilling, and can be widely applied to the technical field of seabed oil and gas resource exploration and development.

The present application provides a gamma ray prediction method based on well deviation constraint type mechanical specific energy, aiming at the measurement lag problem caused by the position difference between the logging while drilling instrument and the drill bit, a well deviation constraint type mechanical specific energy is constructed, and the accurate prediction of gamma data is realized by combining with drilling engineering data, which breaks through the limitation of traditional method relying on only a small amount of logging characteristics, and through the introduction of multi-dimensional engineering parameter modeling, the formation characteristics and drilling working condition information can be more comprehensively reflected. The model adopts an encoder-decoder neural network based on a self-attention mechanism to model the global correlation of input features and adaptively allocate weights, and realizes efficient compensation prediction of lagging gamma data. The method can adapt to complex formation conditions, effectively reduce the drilling operation risk, improve the operation safety and efficiency, and can provide efficient and reliable technical support for logging while drilling and on-site drilling decision-making.

The application discloses a multi-parameter while-drilling logging data acquisition device for exploration, which comprises a bottom cover; a machine cylinder shell is connected to the upper side of the bottom cover through bolts; a data acquisition control machine is installed on the inner side of the machine cylinder shell; the device further comprises a sleeve shell and a multi-parameter logging device; the bottom end of the sleeve shell is connected to the machine cylinder shell through bolts. The application also discloses a multi-parameter while-drilling logging data acquisition method. The multi-parameter while-drilling logging data acquisition device for exploration and the acquisition method thereof solve the problem that a plurality of logging sensors of a logging instrument in traditional while-drilling logging cannot be individually disassembled and replaced with spare parts.

The present application relates to the technical fields of measurement while drilling and data management, in particular to a real-time data management system based on near-bit geological parameter calibration, comprising: a data acquisition module capable of real-time acquisition of original data near the drill bit; an adaptive correction module capable of correcting original geological data, dynamically adjusting the sampling rate and compression strategy of the corrected geological data; an independent depth module capable of extracting axial motion acceleration using original acceleration data and original magnetic force data, obtaining downhole independent depth and error covariance thereof through inertial recursion; a depth alignment module capable of fusing the downhole independent depth and the ground measured depth to obtain optimal depth estimation and depth uncertainty thereof; aligning the corrected geological data with the optimal depth estimation to generate a logging-while-drilling curve with depth uncertainty; and an uncertainty management module capable of quality marking and visualization of the logging-while-drilling curve according to the depth uncertainty.

The present application belongs to the field of geological exploration, and discloses a device for logging while drilling based on muon imaging technology; the device comprises an outer shell, an inner cylinder and a muon detector, wherein the inner cylinder is coaxially nested in the outer shell, and a relatively sealed detection space is formed between the inner cylinder and the outer shell; the muon detector is arranged in the detection space; the muon detector comprises a scintillator assembly coaxially sleeved and arranged in the detection space and a photodetector arranged on the inner side of the scintillator assembly, wherein the scintillator assembly is made of a scintillator material resistant to high temperature above 140 DEG C, and the inner wall of the detection space is provided with a heat insulation layer. The present application can be widely applied to oil and gas exploration, mineral resources investigation and underground structure detection, and can improve the detection depth and imaging accuracy of logging while drilling.

The present application belongs to the technical field of oil and gas reservoir exploration and development, and particularly relates to a method and device for real-time formation tracking while drilling in a high-inclination well. The method determines the formation attribution and the intersection relationship between the vertical well and the formation by marking the real-time trajectory of the vertical well on seismic data, constructs a processing model for depth correction of logging-while-drilling curves under different intersection relationships between the real-time trajectory of the vertical well and the formation, realizes the correction and processing of the depth of the logging-while-drilling curves, and determines whether the real-time trajectory of the vertical well enters the intended sub-divided formation or the sweet spot section by comparing the curve shapes of the corrected logging-while-drilling curves and the existing standard well completion logging curves. The method can accurately track the position of the sub-divided formation where the real-time trajectory of the vertical well is located, thereby ensuring the accurate targeting of the vertical well and providing a scientific basis for the reasonable and efficient exploration and development of oil and gas reservoirs.

This utility model discloses a remote gamma measurement device for logging while drilling. The remote gamma measurement device includes: a pressure-resistant cylinder, a mounting frame, a main control and power board, a gamma sensor, a shielding layer, a heat-conducting component, a first connector assembly, and a second connector assembly. The mounting frame is located inside the pressure-resistant cylinder; the main control and power board is located on the mounting frame; the gamma sensor is located on the mounting frame and electrically connected to the main control and power board; the shielding layer is located inside the pressure-resistant cylinder and is used to shield the peripheral area of ​​the gamma sensor; the heat-conducting component is configured to conduct heat from the gamma sensor to the mounting frame; the first connector assembly is located on the pressure-resistant cylinder and electrically connected to the main control and power board; the second connector assembly is located on the pressure-resistant cylinder and electrically connected to the gamma sensor. This utility model's remote gamma measurement device for logging while drilling can improve the thermal conductivity and heat dissipation capabilities of NaI crystals, further improving the reliability of the remote gamma measurement device for logging while drilling.

This invention discloses a multi-adaptive rotary steerable logging-while-drilling (LSD) assembly, belonging to the field of oil drilling technology. This assembly uses a traditional steerable actuator as its core, forming multiple integrated solutions compatible with existing logging instruments, dual-master control architectures, Russian platforms, rotary steerable systems, and next-generation integrated systems. It is compatible with both drilling conditions with and without mud motors. Component cascading is achieved through flexible subs, conversion subs, upper and lower communication subs, and extension connection components of existing logging instruments. This effectively improves the problems of poor compatibility, low integration, measurement lag, insufficient communication stability under complex conditions, and weak compatibility of existing drilling assemblies. This invention has the advantages of multi-platform compatibility, near-bit synchronous measurement, bidirectional stable communication, and integrated geological guidance, and is suitable for drilling and formation evaluation operations in directional wells, horizontal wells, and extended reach wells.

The present application provides a complex lithology mixtite reservoir sweet spot comprehensive evaluation method based on logging combination, comprising the following steps, S1: collecting various data of the block; S2: using logging while drilling and gas logging to establish a mixtite reservoir effectiveness evaluation index E; S3: using logging while drilling capture spectroscopy to establish a variable mineral weight mixtite reservoir compressibility index BRIT; S4: using logging while drilling capture spectroscopy to establish a variable mineral weight acidification index ACID. Through the mixtite reservoir effectiveness evaluation index E, the variable mineral weight compressibility index BRIT and the acidification index ACID, the mixtite reservoir geology and engineering sweet spot can be effectively found, which provides a basis for exploration stage testing and sampling, oilfield development stage perforation scheme formulation and later measures. The present application has wide application range, strong effectiveness and high prediction accuracy, has important guiding significance for exploration and development, and can also be appropriately popularized to other types of reservoirs.

A method to predict wireline caliper log data from logging-while-drilling data which includes collecting logging-while-drilling logs and caliper logs from a plurality of wells. The caliper log contains at least one channel. The method further includes pre-processing the logging-while-drilling data, selecting a subset of logs within the logging-while-drilling data, and aggregating the channels of the caliper logs forming aggregate logs. The method further includes splitting the pre-processed logging-while-drilling data and aggregate logs into train, validation, and test sets, wherein the validation and test sets may be the same, selecting a machine-learned model and architecture, and training the machine-learned model to form predicted aggregate logs from the logging-while-drilling data using the training set. Additionally, the method consists of using the machine-learned model to predict the aggregate logs using pre-processed logging-while-drilling data.

This invention provides a lithology identification method, apparatus, storage medium, and electronic device. The method includes acquiring mechanical drilling parameters uploaded by a logging-while-drilling (LOD) device, calling a trained lithology prediction model, preprocessing the LOD parameters to obtain input data, and processing the input data using the lithology prediction model to obtain a predicted lithology category based on the drilling depth. In this method, the LOD device is placed several meters above the drill bit, so the mechanical drilling parameters are the earliest available data. Based on this, this application uses mechanical drilling parameters for lithology classification, which can quickly and accurately classify the lithology of the current drilling by continuously adapting to changing downhole conditions. This allows the boundaries between continuous rock layers to be identified as early as possible, alleviating the technical problem of poor real-time performance in current lithology identification technologies.

The application belongs to the technical field of logging while drilling, and discloses a sleeve type electronic cabin structure of a logging while drilling instrument and a strength checking method thereof. The sleeve type electronic cabin structure of the logging while drilling instrument comprises a drill collar male head, a drill collar female head threadedly connected with the drill collar male head, and a sleeve arranged on the drill collar male head and located between a male head shoulder of the drill collar male head and a female head shoulder of the drill collar female head. The length L of the sleeve is L0+A+B, wherein L0 is the distance between the male head shoulder and the female head shoulder when the drill collar female head is connected with the drill collar male head and the sleeve is not installed, A is a sleeve length compensation value under the action of a threaded axial force F, and B is a sleeve length compensation value caused by a threaded fit clearance. The sleeve type electronic cabin structure of the logging while drilling instrument can keep the contact end surfaces of the sleeve and the drill collar male head and the contact end surfaces of the sleeve and the drill collar female head in the sleeve type electronic cabin structure of the logging while drilling instrument sealed at all times.

The application discloses a kind of while drilling well logging wireless sensor data transmission device and method, belong to petroleum and natural gas drilling engineering technology and equipment field, including: mud pressure sensing detection circuit will mud pressure pulse signal be converted into current signal after being converted into digital, MCU is given;AB phase encoder detection circuit monitors drill pipe movement and outputs two phase shifts 90 degrees square wave signals, real-time calculation drilling depth is given MCU;MCU is handled after mud pressure data and drilling depth data are given CAN communication circuit, 485 communication circuit and wireless radio frequency circuit;CAN communication circuit will data be transmitted to driller display in real time and be displayed;485 communication circuit will data be transmitted to other downhole equipment or host computer;Wireless radio frequency circuit will data be transmitted to ground host computer.The application avoids complex wiring engineering and physical damage, improves the reliability and safety of while drilling well logging data transmission process, with the advantages of easy installation, easy maintenance etc..

The application discloses a drilling instrument for logging while drilling in ocean non-standpipe high-inclination well operation and belongs to the technical field of ocean drilling equipment. The drilling instrument comprises a near-bit measuring assembly, a hollow screw assembly, an electromagnetic coupling transmission nipple, a rear resistivity assembly, a non-magnetic drill collar, a signal line telescopic rod assembly, a directional joint and MWD instrument with a rotary valve. The near-bit measuring assembly is combined with the rear resistivity assembly and a gamma measuring instrument in a mode, which can check formation data and improve data accuracy. The hollow screw assembly is connected with the near-bit measuring assembly through wires, signals are transmitted in a wired mode, the upper end of the screw is connected with the electromagnetic coupling transmission nipple to transmit signals at a short distance, and signal transmission is stable. The rear resistivity is connected with the MWD through the signal line telescopic rod, which can prevent the length error of the drilling instrument from causing the measuring instrument to be unable to use. The downhole power screw drilling instrument and the shorter near-bit measuring assembly can be used for directional operation of high-inclination wells.

A cross-well shear wave velocity prediction method based on latent space correction (LSA) is proposed. The core of this invention lies in constructing a latent space correction model (LSA-Model). This method first collects drilling engineering parameters, logging-while-drilling (LWD) data, and depth characteristics from multiple wells. Preprocessing of the drilling engineering parameters, such as well-level normalization, eliminates inter-well systematic biases. The constructed model comprises three main parts: an encoder module, a gamma-ray (GR) prediction branch, and a shear wave velocity (Vs) prediction branch, ultimately outputting predicted shear wave velocity values. By introducing GR prediction as a geological anchor point, this method forces the engineering parameters of different wells to be corrected in the latent space, thereby effectively improving the model's prediction accuracy and generalization ability on new wells. Practical applications show that the prediction performance of this method in cross-well validation scenarios is significantly better than baseline models that only use LWD data or simply stitch together multi-source data.

The application provides a tidal flat facies dolostone reservoir logging while drilling evaluation method, the method comprises the following steps: determining the marker layer on the upper part of the high-quality reservoir by using Ca, Mg and other elements according to element logging analysis, qualitatively identifying the reservoir by engineering logging parameters, obtaining the dissolution pore characteristics by scanning the rock debris backscattering imaging, calculating the elastic modulus of the rock by elements, finally forming the tidal flat facies dolostone logging while drilling evaluation method, which can provide the basis for trajectory optimization in the drilling construction process of the tidal flat facies dolostone formation, guide the drilling construction and improve the drilling rate of the high-quality reservoir.