42 results about "Mud logging" patented technology

The invention discloses a mechanical drilling rate prediction method of a bidirectional LSTM model based on attention enhancement, and the method comprises the steps: selecting an open source data set from a Norway Volve oil field, carrying out the preprocessing, and enabling all data to be logging data based on a depth domain; establishing a mechanical drilling speed prediction model by using an attention-based bidirectional LSTM network, and training the model to obtain an optimized mechanical drilling speed prediction model; according to the invention, by introducing an attention mechanism, the model can automatically identify and preferentially process data which has great influence on a prediction result, so that the prediction accuracy and efficiency are remarkably improved. Compared with a traditional one-way LSTM, the two-way LSTM can consider past and future data information at the same time, and a more effective solution is provided for processing time series data with complex nonlinear characteristics.

The invention discloses a method for recognizing the batch stand column connecting and detaching working condition of a drilling machine through logging real-time data. The method comprises the steps that batch stand column connecting and detaching working condition samples in drilling historical data are counted; determining working condition charts of batched upright post connection and batched upright post disassembly; the normalized working condition charts of batch connection and batch disassembly of the stand columns are obtained; obtaining a standard comparison chart of the working conditions of batch connection and batch disassembly of the stand columns; obtaining height wave crest and wave trough values of the hook; obtaining possible batched connection and disassembly stand column charts in the real-time data; calculating the similarity of the two by using a Pearson's correlation coefficient method; if the similarity meets the judgment requirement, the captured window working condition is accurately recognized as the corresponding batched stand column connecting and disassembling working condition. According to the method, a specific rule is set to identify batch connection and batch disassembly data windows; a standard comparison plate of batch connection and batch disassembly is established, and accurate recognition of batch connection and batch disassembly of the stand columns is achieved by comparing real-time data with the standard comparison plate.

The invention discloses a thin reservoir horizontal well geosteering method based on real-time adjustment of a three-dimensional model, which is used for predicting lithology of sand bodies between wells and geosteering the horizontal well by normalizing gamma curves of logging and logging, and comprises the following steps of: 1, normalizing natural gamma curve data of the horizontal well while drilling obtained from logging; the strain is named as GRL; 2, normalizing a logging natural gamma curve according to the mudstone baseline value of the natural gamma curve, and naming the logging natural gamma curve as GRC; 3, performing data inspection on the GRL curve and the GRC curve of the same horizontal well, and splicing the two inspected curves of the horizontal well into GRU; according to the method, in the aspect of mismatching of the data obtained by the logging measurement method and the logging measurement method, the accuracy of the logging measurement data is improved through normalization processing; the matching of the logging data increases the transverse information of the continuous drilling sand body of the horizontal section, and greatly improves the accuracy of the inter-well sand body prediction.

Embodiments of the invention relate to methods, systems, and software for identifying and quantifying subsurface hydrogen, helium, carbon dioxide, or other fluids using multiple indicia from geophysical well logs, other wireline logging tools, or mudlogging tools.

The invention discloses a logging instrument drilling fluid outlet flow monitoring system and method based on machine vision, and belongs to the technical field of drilling fluid detection. Collecting data; carrying out image convolution processing; extracting features; calculating a visual modal visibility probability; calculating a flow modal probability; calculating a pressure modal probability; determining a comprehensive cutoff probability based on multi-modal probability fusion; and determining a risk level and a hierarchical response mechanism based on the comprehensive cutoff probability. According to the method, three heterogeneous modes of vision, flow and pressure are fused, so that the problem that the reliability in the prior art is still difficult to meet the real-time decision-making requirement under the complex working condition is solved, the system reliability under the severe working condition is improved, and the technical effect of reducing the false alarm rate and the missing report rate is achieved.

The invention belongs to the technical field of oil and gas exploration and development, and discloses an oil well production initial stage yield splitting method based on logging gas chromatography data, electronic equipment and a medium, and the method comprises the following steps: establishing a standard interpretation evaluation chart marked with a water content interval boundary by using four pieces of water logging degree related data I obtained by early stage oil testing production; and determining the moisture content interval of each single layer according to the position where the water logging degree related data II of each single layer of the to-be-split layer falls into the standard interpretation and evaluation chart, and then performing splitting. According to the method, the influence of different water logging degrees on the single-layer water content is fully considered, the splitting result is closer to the real situation, the accuracy is higher, the application scene of electronic equipment and media based on the method is widened, and the method is suitable for oil well yield splitting so as to evaluate the single-layer remaining oil potential.

The application discloses a kind of paragenetic metamorphic rock weathering crust weathering alteration index calculation method, comprising: the mass percentage of element of mud logging cuttings is determined;The mass percentage of element is normalized;The mass percentage of element after normalization is converted into oxide molar ratio;According to the change trend of element oxide molar ratio, the relative loss and relative enrichment trend of various elements in paragenetic metamorphic rock weathering crust is judged;According to the trend of element relative loss or enrichment, the easily soluble element and the element easy to remain are determined, and the new paragenetic metamorphic rock weathering crust weathering alteration index calculation formula is fitted;The molar ratio of element oxide is brought into the new calculation formula established, according to the size of the weathering alteration index value calculated, paragenetic metamorphic rock weathering crust is identified, and paragenetic metamorphic rock weathering crust structure is divided.The application provides important technical support for oil and gas basin paragenetic metamorphic rock weathering crust reservoir research.

The application discloses a method for calculating a dynamic threshold value based on an MLP network to evaluate a risk of pipe sticking, and comprises the following steps: collecting real-time mud logging data on site; calculating a theoretical value of hook load and a theoretical value of torque by using a soft rod model; using an MLP neural network model to predict a dynamic threshold value of hook load and a dynamic threshold value of torque in combination with the mud logging data, the theoretical value of hook load and the theoretical value of torque; calculating a risk factor of pipe sticking; and monitoring a drilling state in real time, and issuing a warning in time according to the value of the risk factor to provide a scientific decision basis for an on-site operator. The application has the advantages of high calculation precision, strong adaptability and simple on-site operation, can self-adaptively identify the risk of pipe sticking, provides a scientific decision basis for the on-site operator, and effectively improves drilling efficiency and safety.

The invention discloses a well leakage risk early warning method and device, and the method comprises the steps: collecting logging data in real time when a drilling tool micro-element is emptied in drilling operation, and carrying out time-depth conversion to obtain logging data for analysis; obtaining a well leakage judgment index value of a first preset window length from the well logging data for analysis; calculating a well leakage judgment index base value according to the well leakage judgment index value of the first preset window length; for each acquisition point of a second preset window length, calculating the deviation between each well leakage judgment index value and the well leakage judgment index base value, and obtaining a first well leakage judgment result according to the current well depth, the deviation corresponding to all the acquisition points, the first well leakage judgment threshold value and the second well leakage judgment threshold value; if the first well leakage judgment result is that the suspicious well leakage exists in the current shaft, whether well leakage early warning needs to be sent out or not is judged according to the hook height corresponding to the current well depth and the maximum value of the historical hook height. According to the invention, shaft leakage-prone points can be found in time.

The invention relates to the technical field of detection methods, in particular to a logging equipment gas concentration detection method which comprises the following steps: SI, detection preparation and primary treatment; s2, flow measurement and flow path control; s3, standard gas is introduced, and a gas path is cleaned; s4, pressure control and output; according to the detection method, by using the flow sensor and the needle valve, the flow of air entering the detection system can be accurately controlled, it is ensured that the air enters the detection system at a constant flow, and therefore detection errors caused by flow fluctuation are reduced, hydrocarbon compounds and moisture in the air are effectively removed by introducing the hydrocarbon remover and the dryer, and the detection accuracy is improved. The method avoids the influence of the impurities on the detection result, can adapt to the detection requirements of different gases through the steps of standard gas introduction and gas path cleaning, also can quickly calibrate and verify the accuracy of the detection system, greatly reduces the time required for calibration and verification, also can avoid cross contamination, and improves the detection efficiency. And the long-term stable operation of the detection system is ensured.

The invention relates to a condensate gas reservoir horizontal well section oil-gas phase state judgment method, and belongs to the technical field of condensate gas reservoir oil-gas exploration and development. According to the method, hydrocarbon component data information of logging gas logging in the drilling process is utilized, a gas-liquid hydrocarbon coefficient formula is established, then normalization processing is conducted, normalized data are displayed in the same scale through a curve and correspond to the actual productivity of a well, and a judgment standard of the oil-gas phase state is established. When the oil-gas phase state of the condensate gas reservoir horizontal well section is quickly and qualitatively predicted, the relative contents of the condensate oil and the natural gas in the stratum of the condensate gas reservoir horizontal well section are intuitively judged by comparing two curves of liquid hydrocarbon and gas-liquid hydrocarbon coefficients according to the established judgment standard. A reference basis is provided for optimizing a gas testing interval and optimizing a reservoir transformation process, the method is a novel method which is low in cost, simple, convenient, visual, efficient and reliable in result, and geological evaluation data is provided for a horizontal well multi-section fracturing technology.

The invention belongs to the technical field of petroleum and natural gas exploration and development, and particularly relates to a method for judging a bottom interface of a permian stone thousand peak group by applying element logging data, which comprises the following steps: S1, collecting logging rock debris while drilling; s2, performing coarse division on the bottom interface of the permian stone thousand-peak group by combining regional deposition characteristics and geological design information, and delimiting a coarse division interface; s3, performing X-ray fluorescence spectrum scanning on the logging rock debris while drilling to obtain strontium, copper and barium element data; s4, carrying out data processing, analysis and judgment on the strontium, copper and barium element data, and calculating an interface coefficient JM; and S5, correcting the depth of the coarse interface to obtain the bottom interface depth of the permian stone thousand-peak group. According to the method for judging the bottom interface of the permian stone thousand peak group by applying the element logging data, errors existing in a lithology combination judgment method which mainly depends on naked eyes of technicians to recognize rock debris are corrected, and the method has the advantages of being small in error, small in data processing amount, high in accuracy, low in cost, easy to operate and wide in application range.

The invention discloses a recommendation method of a drilling accident disposal scheme and a related device. The method comprises the following steps: acquiring data of well leakage characteristic parameters of a to-be-handled drilling accident in a target block, wherein the well leakage characteristic parameters comprise a leakage layer position, a leakage speed, a drilling fluid density, a logging curve and a drilling tool; according to the data of the well leakage characteristic parameters, a recommended scheme set is determined from a pre-constructed well leakage knowledge graph, the recommended scheme set at least comprises one drilling accident disposal scheme, and the drilling accident disposal scheme comprises sorting parameters; and according to the data of the sorting parameters of each drilling accident disposal scheme, calculating a recommended value of each drilling accident disposal scheme. Based on the recommendation function of the knowledge graph, the scheme of successful disposal of the historical well leakage accident can be quickly and accurately obtained, and the efficiency and the success rate of formulating the well leakage accident scheme are improved.

The application discloses a non-stirring type efficient degassing device, which comprises a spiral fluid collecting mechanism located at an upstream end of a process and used for continuously extracting drilling fluid; and an ultrasonic degasser located at a downstream of the process of the spiral fluid collecting mechanism and communicated with the spiral fluid collecting mechanism through a pipeline; a plurality of ultrasonic transducer oscillators are arranged in the ultrasonic degasser; the spiral fluid collecting mechanism extracts the drilling fluid and conveys the drilling fluid into the ultrasonic degasser through the pipeline; the ultrasonic degasser shakes the drilling fluid through vibration of the plurality of ultrasonic transducer oscillators to shake the drilling fluid to separate internal gas; the degassed drilling fluid is extracted into a chromatograph by a sample pump to be analyzed and detected. The device changes traditional stirring type degassing into non-stirring type degassing, realizes mud logging fluid degassing by using the ultrasonic degasser, achieves the design purpose of efficient degassing, and guarantees the real effectiveness of full hydrocarbon components of gas logging.

The application provides a kind of automatic analysis and collection device for mud logging industry debris, relating to debris processing equipment field, including debris collection mechanism, debris conveying mechanism and debris analysis mechanism, debris collection mechanism is used to receive the debris separated from mud and transports debris to debris conveying mechanism;Debris conveying mechanism is used to receive the debris output from debris collection mechanism, and transports it to debris analysis mechanism.The device can improve the degree of automation of debris collection and analysis, thereby reducing labor intensity and improving work efficiency.

The invention provides a logging rock debris identifying and naming method and device. The method comprises the following steps: acquiring a rock debris picture; segmenting the rock debris photo to enable each rock debris particle to have an independent area, and obtaining a segmented image; identifying the segmented image by using a rock debris particle identification model, and determining particle information in the rock debris photo according to an identification result; and performing rock debris naming on the rock debris photo according to the particle information in the rock debris photo. By means of the scheme, identification and naming of the rock debris on the microcosmic particle level can be achieved, and the logging efficiency and accuracy are greatly improved.

Embodiments of the invention relate to methods, systems, and software for identifying and quantifying subsurface hydrogen, helium, carbon dioxide, or other fluids using multiple indicia from geophysical well logs, other wireline logging tools, or mudlogging tools.

The present application relates to the technical field of remote monitoring, in particular to a kind of high-cold area mud logging stratum analysis data remote monitoring system, system includes stratum mutation monitoring module, data paragraph integrity identification module, monitoring priority order construction module, environmental mutation excitation monitoring module and channel path dynamic scheduling module.The present application, by double judgment to the variation value of methane concentration and the range of rock debris particle size, can accurately identify the depth paragraph of stratum mutation, and by comparing the integrity of mud logging channel data, according to the mutation degree and the structure integrity degree, when sudden disturbance occurs outside the mud logging environment, dynamically evaluate the stability of communication channel and switch path, improve the reliability and response efficiency of data link under extreme climate conditions, under the condition of remote unmanned garrison, consider mutation identification, data integrity protection and link stable transmission, realize accurate monitoring and remote operation and maintenance support for high-cold area mud logging data.

The invention relates to an automatic tabletting and sample preparation mechanism for logging rock debris, a compression ring separation assembly comprises a compression ring separation seat and a ring separation insertion plate, an insertion opening is formed in the lower side of the compression ring separation seat, and a compression ring at the lowermost end in the compression ring separation seat is inserted into the insertion opening through the ring separation insertion plate to be pushed and output; the pressing ring feeding and discharging assembly is provided with a movable pressing ring clamping jaw, and the output pressing ring is clamped by the pressing ring clamping jaw to move to the press fitting station base. Pressing ring locking assemblies are arranged on the two sides of the pressing station base correspondingly, and each pressing ring locking assembly is provided with a movable locking clamping block used for clamping a pressing ring; the rock debris sampling assembly comprises a sampling hopper and a discharging plate, a sampling hopper base is arranged at the lower end of the sampling hopper, the discharging plate is movably arranged on the lower side of the sampling hopper base and provided with a quantitative discharging hole, and during sampling, the quantitative discharging hole moves to the lower side of the sampling hopper base and receives rock debris samples; and during discharging, the quantitative discharging hole moves to the position above the pressing ring of the press fitting station seat. The rock debris powder press-fitting device can realize automatic press-fitting operation of rock debris powder in the press ring.

The utility model relates to the technical field of exploration devices, and discloses a comprehensive logging instrument depth metering device which comprises a base, a vertical shaft is arranged on one side of the base, a connecting plate is connected to the center of the outer ring of the vertical shaft in a sleeved mode, and the top end of the vertical shaft is connected with a discharge pipe through a faucet. Scaleplate blocks are arranged at the positions, close to the two sides, of the top end of the connecting plate, a first transparent protective cover is installed on the side, away from the vertical shaft, of one scaleplate block through fixing bolts, and a first pulley is rotationally installed on the side, away from the vertical shaft, of the scaleplate block and located below the first transparent protective cover through a bearing; through the first transparent protective cover, the second transparent protective cover and the limiting block, the second pulley and the first pulley can be protected so as to resist mud, rock debris and other sundries on a well drilling site, the probability that the sundries are separated from the first pulley or the second pulley is reduced, friction with the steel wire rope body can be improved, the slipping probability is reduced, and the accuracy of measured data can be improved conveniently.

The application provides a kind of overflow risk key feature screening method based on data mining, relating to the technical field of oil drilling engineering, comprising: using weighted moving average filter to carry out noise reduction processing to mud logging sampling data, to obtain overflow data set;The correlation analysis is carried out to the overflow data set, to obtain multiple groups of high correlation variable set;For multiple groups of high correlation variable set, the overflow risk key feature screening is carried out through feature screening model, to obtain the overflow risk key feature set.The overflow risk key feature screening method provided by the application screens out important features, enhances data interpretability, thereby more deeply understands the correlation between each feature and overflow risk, improves the accuracy of overflow risk early warning model, and has important reference value for the diagnosis and early warning of overflow risk.

The application discloses a mud logging abnormality identification and early warning training system and a use method thereof, relates to the technical field of mud logging professional technical training systems and methods, and comprises a mud logging real-time database, a mud logging abnormality prediction knowledge base, a well control learning unit and a warning learning unit. The warning learning unit comprises an abnormal curve simulation module, an extraction module, a labeling module, a student prediction filling module, an answer prediction generation module, an abnormality prediction comparison module and a prediction result analysis module. Based on the system, the whole process of online scene simulation of mud logging site abnormality reporting can be completed, so as to realize the training of mud logging abnormality identification and reporting, well control knowledge and the like in combination with real-time mud logging abnormality data, and the learning results of the trainees can be examined and evaluated, so that the training efficiency is improved.

A method for estimating a quantity of natural hydrogen in a subterranean formation includes degassing drilling fluid obtained from a wellbore to obtain a gas sample including a quantity of hydrogen gas, measuring a concentration of hydrogen in the gas sample, and applying a correction to the measured concentration of hydrogen to estimate the quantity of natural hydrogen in the subterranean formation.

The present application belongs to the technical field of oil exploration and development, and particularly relates to a method for identifying sandstone and conglomerate lithologic traps. In the presence of complex sedimentary conditions, the present application first divides the sandstone and conglomerate into sedimentary stages by comprehensively utilizing seismic data and core, well logging and mud logging data of the measured well in the work area, then analyzes the seismic response characteristics of the positions of fan root, fan middle and fan end, and interprets the sandstone and conglomerate seismic facies based on the seismic data to delineate the seismic facies distribution range, and further determines the sandstone and conglomerate lithologic sensitive parameters and the relationship between the sandstone and conglomerate lithologic sensitive parameters and reservoir porosity, so as to delineate the sweet spot range, and superimpose the seismic facies and sweet spot range with the structure map to delineate the trap range. The whole process comprehensively utilizes different data, including seismic, core, well logging and mud logging data, establishes a trap identification method suitable for sandstone and conglomerate, and improves the sandstone and conglomerate fan trap identification accuracy, thereby laying a foundation for efficient exploration and development of sandstone and conglomerate oil and gas reservoirs.

The utility model relates to a kind of mud logging sample detection and analysis integrated system, wherein integrated box interior is divided into sample preparation room and automatic analysis room by partition, partition one end is equipped with sample inlet bin, and sample inlet bin includes sample feeding part located in sample preparation room and sampling part located in automatic analysis room, sample tray loaded sample is first placed into sample feeding part, then is pushed into sampling part;Sample preparation room is equipped with sample preparation workbench, and sample preparation workbench is equipped with multiple sample preparation equipment;Automatic analysis room is equipped with equipment mounting seat and sampling mechanism, wherein equipment mounting seat is equipped with multiple analysis equipment, sampling mechanism is equipped with movable sampling base plate, and sampling base plate is equipped with sampling gripper, the sample tray in sample feeding part is sent into corresponding analysis equipment after being gripped by the sampling gripper.The utility model integrates sample preparation and each analysis procedure, and realizes automatic sample feeding analysis function, improves detection efficiency, and also reduces the exposure time of sample transfer.

The invention belongs to the field of professional auxiliary equipment for oil logging, particularly relates to a wireless power supply control system, method and equipment for a special degasser for logging, and aims to solve the problem that no particularly reliable and convenient means for controlling the special degasser for logging exists in the prior art. The system comprises an acquisition module used for acquiring parameters of a wellhead end degasser; the degasser end monitoring control module is used for receiving the parameters transmitted by the logging instrument end acquisition software and transmitting a control signal to the rear-end wireless transmitting device according to the parameters; the rear-end wireless transmitting device is used for receiving the control signal and transmitting a wireless control signal according to the control signal; the front end degasser power supply control and wireless receiving device is used for receiving the wireless control signal and controlling the wellhead end degasser according to the wireless control signal; and the wellhead end degasser is used for working according to the received wireless control signal. The potential risk of the degasser in the using process is reduced, and the intrinsic safety of people is ensured.

The utility model relates to an automatic sample introduction mechanism for logging detection analysis equipment, which comprises a right-angle sample introduction mechanism, a clamping jaw assembly and a charging tray assembly, the right-angle sample introduction mechanism is arranged on a working platform, the movable clamping jaw assembly is arranged on the right-angle sample introduction mechanism, and a charging tray mounting port is arranged on the working platform; the clamping jaw assembly comprises a first clamping jaw and a second clamping jaw which are driven by a clamping jaw air cylinder, and the first clamping jaw and the second clamping jaw are arranged at the corresponding air cylinder moving ends of the clamping jaw air cylinder in a replaceable mode respectively. The charging tray assembly comprises a charging tray and a plurality of sample containers arranged on the charging tray, the charging tray is placed in the charging tray mounting opening after being input, and the sample containers are clamped and transferred through cooperation of the first clamping jaw and the second clamping jaw. According to the utility model, the loading quantity of the sample containers is increased, the sample containers can be ensured to quickly and accurately inject samples, and meanwhile, various sample containers can be compatible.

A method for measuring gas volume during mudlogging of a subterranean field operation may include obtaining measurements for a plurality of parameters associated with a core sample retrieved from a subterranean formation, where the plurality of parameters are measured while the core sample is under downhole conditions, and where the plurality of parameters comprises a volume of fluid in a gaseous state. The method may also include applying the measurements to an algorithm to generate a calibrated algorithm, where the calibrated algorithm is used to generate an output based on measurements made during the mudlogging.

The application discloses a kind of weathering alteration index calculation methods of orthometamorphic weathering crust, comprising: the mass percentage of element of mud logging cuttings is determined;The mass percentage of element is normalized;The mass percentage of element after normalization is converted into the mole ratio of oxide;According to the change trend of element oxide mole ratio, the relative loss and relative enrichment trend of various elements in orthometamorphic weathering crust are judged;According to the trend of element relative loss or enrichment, the easily soluble element and the element easy to remain are determined, and the calculation formula of new orthometamorphic weathering crust weathering alteration index is fitted;The mole ratio of element oxide is brought into the new calculation formula established, and according to the size of the weathering alteration index value calculated, orthometamorphic weathering crust is identified, and the structure of orthometamorphic weathering crust is divided.The present application provides important technical support for oil and gas basin orthometamorphic weathering crust reservoir research.

The specification provides a continuous mud logging method and device. The method comprises: obtaining a while-drilling rock sample and a full-diameter core sample, and screening a target rock sample from the while-drilling rock sample; performing a micro-indentation experiment on the target rock sample to obtain static parameters of the target rock sample; performing a triaxial compression experiment on the full-diameter core sample to obtain dynamic parameters and static parameters of the full-diameter core sample; constructing a first corresponding relationship between the static parameters of the target rock sample and the dynamic parameters of the full-diameter core sample; constructing a second corresponding relationship between logging data and the static parameters of the target rock sample according to the first corresponding relationship between the static parameters of the target rock sample and the dynamic parameters of the full-diameter core sample; and drawing a formation mechanical property profile according to the second corresponding relationship. The above method can solve the problem that a complete full-well-section mechanical property profile cannot be continuously drawn in the prior art.