27 results about "Mud logging" patented technology

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 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 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 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 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.

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 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.

The application discloses a shale oil clay pore water salinity calculation method for mud logging site, first, a reference core is obtained and total signal area and clay pore water signal area of the reference core are measured; then, the reference core is immersed in a diffusion liquid, a wicking diffusion liquid and a standard core are obtained, the standard core is prepared into a saturated core, core pore water volume is calculated according to the dried mass of the standard core and the saturated mass of the saturated core, the wicking diffusion liquid is detected by two-dimensional nuclear magnetic resonance and oil volume is calculated; then, wicking salinity is calculated according to the resistance value parameter and the temperature parameter of the wicking diffusion liquid, finally, a salt conservation equation of the clay pore water is constructed and clay pore water salinity is calculated; the application diffuses the salt and oil in the clay pore water into the whole wicking diffusion liquid based on the wicking diffusion principle of the concentration difference, realizes natural separation of the oil and the water, fundamentally solves the signal mutual interference problem of the oil and the water, and improves the measurement precision of the clay pore water salinity.

This invention relates to the field of oil and gas exploration and development technology, and is a method for oil-water identification based on radar model-based well logging nuclear magnetic resonance (NMR). It involves establishing radar charts corresponding to different fluid properties using five parameters: water affinity coefficient, oil affinity coefficient, and normalized original bound fluid signal, bound oil signal, and bound water signal. The radar chart of the original core sample whose fluid properties are to be identified is compared with the radar charts corresponding to the different fluid properties to determine the fluid properties of the original core sample. This invention combines the five parameters—water affinity coefficient, oil affinity coefficient, and normalized original bound fluid signal, bound oil signal, and bound water signal—to establish radar charts. By identifying the fluid properties of the formation through these radar charts, this method can effectively reflect the fluid property characteristics of the formation and provides important data support for subsequent well logging, oil testing, layer selection suggestions, and interpretation evaluation.

The present application relates to coal bed gas reserves prediction technical field, especially in kind based on while drilling data prediction coal bed gas reserves's method and device, the method, including real-time acquisition while drilling data with mud logging sensor, the effective gas volume that returns to wellhead in different time period is measured in real time through wellhead gas metering device, the effective gas is methane gas, the late time is calculated based on the physical property parameter of drilling fluid and effective gas, and the depth of well is returned to the position by using late time to while drilling data and effective gas volume;Based on the total hydrocarbon value measured in each period and effective gas volume, the coal bed gas volume corresponding to the period is calculated, the total volume of coal bed gas under the surface temperature and pressure condition is converted into the equivalent coal bed gas volume under the buried state of underground, the coal bed gas reserves contained in unit volume of coal rock is obtained, the present application can fully utilize the while drilling data obtained on site, realize the rapid and continuous prediction of coal bed gas content, and finally evaluate the coal bed gas reserves of the whole coal bed.

The application provides a water-bearing rock intelligent lithology identification method combining image recognition and spectrum analysis, comprising the following steps: 1, obtaining original drilling while cutting image and rock infrared spectrum data; 2, performing image pretreatment on the original cutting image; 3, performing cutting sample image feature extraction and normalization processing; 4, performing feature selection on the water-bearing rock spectrum data by using the Filter method and performing normalization processing; 5, based on a double migration feature fusion convolutional neural network, combining the cutting sample image feature and the rock spectrum data to construct a cutting feature analysis model; 6, combining the cutting feature and the rock spectrum data to establish a lithology template library; and 7, performing lithology identification. The application can more accurately identify the lithology in the process of mud logging, and improve the exploration and development efficiency of oil and gas resources.

The invention discloses a drilling machine hook load state recognition method based on an embedded feedback mechanism LSTM (Long Short Term Memory), and relates to the technical field of drilling machine operation state recognition, drilling machine parameters are calibrated in advance, and the method comprises the steps of calibrating light load and heavy load, calibrating a sitting slip to be in a state switching from the heavy load to the light load, and calibrating a lifting slip to be in a state switching from the light load to the heavy load; the large hook height BPOS, the large hook load HKLA, the well depth DMEA and the drill bit position DBTM of the lifting system are selected as original logging parameters, and dimensionless derivative characteristic parameters including the large hook load change rate, the sample standard deviation of the large hook load in the T time period, the drilling tool motion state and the large hook motion state are calculated based on the original logging parameters. The method does not need to depend on a complex threshold rule, can adapt to different drilling scenes, particularly solves the recognition problem caused by unobvious feature change when the drilling column is shallower, and provides a key technical support for fine analysis of drilling timeliness and optimization of a drilling machine operation process.

The invention provides a logging rock debris description 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 description on the rock debris photo according to the particle information in the rock debris photo. By utilizing the scheme of the invention, the rock debris identification and description of the microscopic particle level can be realized, and the logging efficiency and accuracy are greatly improved.

The application discloses a reservoir evaluation method based on aftereffect gas release amount, relates to the technical field of drilling geology evaluation, and is based on mud logging time data, calculates aftereffect gas amount and aftereffect gas efficiency of aftereffect through standardized processing of full hydrocarbon gas measurement of the aftereffect section, establishes an aftereffect gas efficiency function by adopting a Gaussian function mode fitting according to the change characteristics of aftereffect intensity with reservoir opening time, integrates to obtain total aftereffect gas release amount, fits a correlation function of the total aftereffect gas release amount of the tested section of the tested oil well after standardization of drilling fluid density and the tested open flow capacity of the section, establishes reservoir evaluation standards of the aftereffect gas release amount in combination with reservoir evaluation standards of the open flow capacity, forms the reservoir evaluation method, and solves the problem that the gas measurement parameter correction technology in the prior art, which is mainly dominated by drilling time, discharge capacity, drill bit size and other engineering parameters, is obviously unsuitable and is difficult to improve the reservoir responsiveness of the gas measurement parameters.

The utility model relates to a kind of mud logging rock debris grinding cleaning mechanism, wherein outer mill disc assembly is located on the outside of grinding device, and outer mill disc assembly includes movable outer cover plate, outer cover plate is equipped with outer mill disc, driving mill disc is equipped on grinding device, when sample grinding, driving mill disc and outer mill disc close and form grinding space, outer cover plate is equipped with sample inlet component, and the sample inlet component is equipped with sample inlet and the grinding space intercommunication, lower hopper component is located below driving mill disc, and lower hopper outside in lower hopper component is equipped with movable dynamic outer peripheral plate driven by outer cover plate, lower hopper inside is equipped with lower discharging guide plate swinging driven by dynamic outer peripheral plate, cleaning component is located on the upside of grinding device and is equipped with liftable cleaning brush, when cleaning, outer mill disc and driving mill disc open, and cleaning brush is lowered into between outer mill disc and driving mill disc. The utility model can realize the automatic grinding operation of rock debris sample and the automatic cleaning operation of driving mill disc and outer mill disc.

The application relates to the field of correction technology, and discloses a Koala correction device and method for the output of a thermal resistance temperature sensor of a comprehensive mud logging instrument, which comprises a data acquisition module, a temperature gradient calculation module, a bias gradient calculation module, a bias value derivation module and a correction value calculation module; and further comprises a thermal resistance temperature sensor and an auxiliary temperature sensor.The temperature gradient calculation module calculates a temperature gradient according to the temperature data measured by the auxiliary temperature sensor, and calculates an average temperature according to the temperature gradient.The bias gradient calculation module calculates a bias value gradient according to the temperature gradient, the average temperature and a temporary bias value of the thermal resistance temperature sensor.The correction value calculation module calculates the bias value of the thermal resistance temperature sensor according to the bias value gradient and the temperature gradient, and further corrects the output temperature of the thermal resistance temperature sensor of the comprehensive mud logging instrument.

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.