20results about How to "Increase the encounter rate" patented technology

The invention discloses a near-bit formation resistivity imaging system and method. The near-bit resistivity imaging and wireless signal transmitting short section performs multi-sector resistivity measurement under at least one depth of a near bit and encoding and transmitting of wireless short transmission electromagnetic wave signals through a resistivity button electrode array; the wireless signal receiving short section receives the cross-screw wireless short transmission electromagnetic wave signal and decodes and transmits the cross-screw wireless short transmission electromagnetic wave signal to the slurry pulse transmission short section; the mud pulse transmission short section is used for coding resistivity measurement data and transmitting the resistivity measurement data to a ground system in a mud pulse manner; and the ground system receives, decodes, displays and images the mud pulse signals. According to the technical scheme, near-bit resistivity imaging of different depths is achieved in the drilling process, real-time measurement, uploading and display of resistivity imaging data are achieved in the mode of cross-screw wireless electromagnetic wave short transmission and mud pulse combined transmission, refined geosteering under the complex geological condition is assisted, and the drilling efficiency is improved. And a technical support is provided for improving the drilling rate of oil and gas reservoirs.

The invention discloses a carbonate rock fault control fracture-vug type high-quality reservoir prediction method and system and electronic equipment, and belongs to the technical field of fracture-vug type carbonate rock oil and gas reservoir development. The method comprises the following steps: obtaining the number of finished drilling wells, the number of wells with mud leakage or drilling tool emptying, the number of wells without mud leakage or drilling tool emptying, corresponding amplitude values and maximum likelihood attribute values in a seismic data work area, and introducing a binary Logistic regression model according to obtained original data, and establishing a relation model of whether emptying leakage occurs, an amplitude value and a maximum likelihood attribute value. On the basis of the model, the probability of emptying leakage at any position in the same set of seismic data work area can be judged, and prediction of a high-quality reservoir is achieved. According to the method, a mathematical probability model is introduced, and quantitative characterization and prediction of the fault control fracture-cavity type high-quality reservoir are realized through combination of a geophysical prospecting technology and mathematical analysis; the process is simple and rapid, and accurate prediction of the cave type fracture-vug type high-quality reservoir is achieved for the first time.

The invention discloses a complex interlaced channel type shallow water delta reservoir configuration prediction method based on a CNN convolutional neural network algorithm. The method comprises the following steps: establishing a configuration unit sample data set; preferably selecting effective sample points; seismic attribute and spectrum feature extraction; preferably selecting attributes which are highly related to the configuration units; preferably selecting a machine learning algorithm; constructing a convolutional neural network prediction model; inputting seismic attributes into the trained network model, outputting a configuration unit prediction model, and predicting the configuration unit distribution of the well control-free area; and identifying and dividing a single split-flow river channel and the like. According to the method, the plane contact relation and the vertical combination style of the composite sand body are finely dissected, so that the fine description of the single river channel in the multi-stage stacked complex interlaced composite river channel is realized, the reservoir recognition precision is improved, the fine implementation of an offshore oilfield horizontal well and the efficient development of an oilfield are guided, and the development of the offshore oilfield horizontal well is facilitated. The result of the prediction method is not greatly different due to subjectivity of researchers, and the prediction result is more reasonable and reliable.

The application discloses a dynamic shale gas horizontal well stratum dip angle prediction method, which comprises the following steps: establishing a shale reservoir velocity model; preparing a shale reservoir structure map, and designing depths of target points A and B of a shale gas horizontal well, wherein the target point A is a starting position of a horizontal section of the shale gas horizontal well, and the target point B is an ending position of the horizontal section of the shale gas horizontal well; calculating a stratum dip angle alpha of the whole horizontal section according to a horizontal distance and a longitudinal distance between the target points A and B; after entering the target point A, a stratum dip angle beta is predicted by using depth data of first and last points of a preset distance drilled this time, the velocity model is updated by using the depth data of the first and last points of the preset distance drilled this time, the structure map is prepared again, a stratum dip angle gamma of a next drilling distance of the horizontal section is predicted by using the prepared structure map again, and a reference stratum dip angle theta of the next drilling distance of the horizontal section is determined according to the three stratum dip angles alpha, beta and gamma, so as to serve as a guide for drilling of the horizontal well. The method can effectively improve a high-quality shale drilling ratio of the shale gas horizontal well, improve drilling efficiency of the horizontal well and save drilling cost.

The invention relates to the technical field of oil and gas exploration and development, and discloses a velocity field model construction method and system, and the method comprises the steps: obtaining a higher-precision anisotropic depth migration layer velocity model through step-by-step iteration of an initial depth domain low-frequency velocity model on the basis of adding geological information, and obtaining a final depth migration result data body. The problems that in the prior art, modeling precision is low, pre-stack depth migration imaging is difficult, and complex structure exploration and development scenes are difficult to adapt are solved.

The embodiment of the present application discloses a method, device, equipment and storage medium for identifying shale oil sweet spots, which belongs to the field of oil and gas exploration. The method includes: determining the sweet spot level of each layer segment according to the oil and gas production of shale oil in each layer segment in the oil well in the target area; constructing an oil content curve of the oil well, the oil content curve is used to represent the oil content of each layer segment, and establishing a correlation relationship between the oil content curve and the first seismic data body corresponding to the target area; creating a stratigraphic framework model according to the first seismic data body corresponding to the target area, using the oil content curve as a characteristic curve for seismic reservoir inversion, setting key inversion parameters according to the geological characteristics of the oil well, and using waveform indication simulation or waveform difference simulation methods to perform reservoir inversion on the first seismic data body, so that the inverted second seismic data body is used to indicate the distribution law of shale oil sweet spots. The embodiment of the present application improves the drilling rate of sweet spots and reduces exploration risks.

The application discloses a method and device for adjusting a drilling trajectory of a horizontal well. First, a standard well used for stratum comparison with a well to be drilled is determined, and a horizontal well geosteering model is established in combination with geological data and drilling engineering data. A current well resistivity while drilling and a while drilling gamma curve are compared with a standard well logging curve, and a target point vertical depth is calculated. In combination with a real-time response of a while drilling azimuthal resistivity boundary detection curve, a landing point of a target layer is determined, and a suitable hole inclination angle is used to enter the layer. A drilling trajectory and a relative position relationship with a stratum interface are determined by fitting a while drilling simulation curve of the horizontal well geosteering model with a current well actual drilling curve. A stratum interface azimuth and a distance from the trajectory to the interface are determined in real time by developing a while drilling azimuthal resistivity boundary detection rapid inversion, and the horizontal section drilling trajectory is adjusted. In combination with logging data and directional actual drilling characteristics, a layer position where the trajectory is located is judged, and a sand body distribution and a stratum change trend are predicted in combination with a regional seismic profile, so that the drilling trajectory is pre-adjusted.

This invention belongs to the field of oil and gas reservoir development technology, specifically disclosing a method for establishing a high-precision stratigraphic model profile through well-seismic integration. The method comprises the following steps: S1, establishing an initial geological model; S2, calculating the stratigraphic lines of geological sub-layers; and S3, generating a new geological model. Based on seismic data and drilled vertical wells, this invention provides a high-precision stratigraphic model for horizontal wells to be drilled. It is suitable for complex models of single wells, multiple wells, and multiple stratigraphic layers, providing a basis for seismic geological guidance work during horizontal well drilling, improving the drilling rate of reservoir "boxes," and reducing drilling engineering risks.

The invention provides a horizontal directional drilling mud proportion control method and device, a terminal and a storage medium. The horizontal directional drilling mud proportion control method comprises the steps that geological sample parameters of a target drilling area are obtained; in fact, the geological sample comprises a rock sample and a soil sample; determining the geological type of the target drilling area according to the geological sample parameters of the target drilling area; and according to the geological type of the target drilling area, determining the ratio of the target slurry. The geological type of the drilling area is determined according to the geological sample, so that the mud ratio is adjusted and optimized, and the drilling rate can be effectively improved.

This invention provides a geological steering method for horizontal wells in tight sandstone gas reservoirs. First, relevant data from the target well and adjacent wells are acquired. Then, using this data, the geological characteristics of the target sandstone body, its micro-structure, reservoir heterogeneity, and stratigraphic occurrence are determined. Next, using well logging interpretation from adjacent wells and geophysical channel characterization, a refined three-dimensional geological model based on seismic constraints is established to clarify the sandstone body distribution and interlayer development. A geological profile is established along the well trajectory to determine the location of the horizontal well trajectory. Finally, trajectory optimization is performed. This steering method effectively combines geological and seismic data, using three-dimensional geological modeling to reasonably predict the distribution of reservoir sandstone bodies and scientifically assess interlayer development. The geological steering method and its implementation effectiveness are effectively guaranteed, and it can meet the geological steering requirements of different gas reservoirs and well areas with significantly different geological characteristics.

The invention provides a formation resistivity calculation method and device, computer equipment and a storage medium. The method comprises the steps that types and resistivity of at least two elements of a drilling well are obtained; calculating the correlation between each element and the resistivity to obtain a first correlation coefficient of each element; selecting at least one element of which the first correlation coefficient is greater than a correlation coefficient threshold value by adopting a preset mathematical method, and determining as a sensitive element; and establishing a resistivity calculation model based on the sensitive elements and the first correlation coefficients corresponding to the sensitive elements. Based on the elements and the correlation coefficients of the elements, a resistivity calculation model capable of accurately calculating the resistivity is established, and real-time resistivity calculation in the geosteering process can be achieved only by measuring logging input of the elements in the drilling process and importing the logging input into the model through the resistivity calculation model. Resistivity information is provided in time in the drilling process, accurate judgment of the position of a drill bit is enhanced, drilling of a target window is avoided, and the drilling rate of a high-quality reservoir is increased.

The application relates to the technical field of oil and gas exploration and development, and is a deep reservoir quality prediction method based on rock facies-geochemical coupling, which comprises the following steps: obtaining geochemical parameters and physical property parameters of a layer section to be predicted; taking the geochemical parameters and the physical property parameters of the layer section to be predicted as inputs, inputting a reservoir quality coupling prediction model, and outputting a porosity calculation value and a reservoir quality grade prediction result of the layer section to be predicted; and the reservoir quality coupling prediction model comprises a multivariate regression model related to the geochemical parameters, the physical property parameters and the porosity and a reservoir quality grade classification model. The application eliminates the multi-solution property of a traditional reservoir quality prediction method from a geological mechanism by means of strong coupling modeling of rock facies and geochemical parameters, and significantly improves the deep and super-deep reservoir quality prediction accuracy. Compared with the prior art, the application can significantly improve the drilling rate of high-quality reservoirs.

This specification relates to the technical field of oil and gas resource development, and provides a method and device for autonomous boundary detection and guidance of downhole machines based on downhole data, the method comprising: real-time acquisition of downhole azimuth logging data; identification of whether the drill bit is close to the reservoir boundary according to the downhole azimuth logging data; when the drill bit is close to the upper boundary of the reservoir, autonomously performing a deflection reduction operation by adjusting the build-up rate; or, when the drill bit is close to the lower boundary of the reservoir, autonomously performing a deflection increase operation by adjusting the build-up rate. The embodiments of this specification can improve the drilling rate of thin oil layers in ultra-deep wells, and can realize autonomous closed-loop intelligent guidance drilling of downhole machines.

The invention discloses a multi-layer-series multi-fault complex fault block edge-expanded well optimization design method, which comprises the following steps: according to a regional stratum layering mode, carrying out whole-region stratification comparative analysis, obtaining a well position deployment target layer, according to a target layer deposition cycle, obtaining an oil layer group, a sandstone group and a single sand body layering standard in combination with a 214 comparison method, finely calibrating earthquake and geologic horizon, and carrying out the optimization design of a multi-layer-series multi-fault complex fault block edge-expanded well. An isochronous stratigraphic framework is established, complex fault block boundary faults and internal inter-well minor faults are subjected to fine recognition, and meanwhile the up-and-down current situation of a target reservoir structure is obtained; the target sand body development condition of an unknown area is obtained, and then complex fault block target reservoir sand body distribution characteristics are obtained; on the basis of the obtained complex fault block oil reservoir data information, the design scheme of the well position in the oil reservoir is optimized; a slave well platform is planned on the ground, that is, three to five wells are drilled on one platform. According to the method, the most effective deployment well position can be determined, and efficient development of the complex fault block is ensured; and the reservoir drilling success rate and the new well utilization rate are improved.

The embodiment of the present application provides a kind of reservoir distribution prediction method, device and storage medium, belong to petroleum technical field.The prediction method includes: obtaining the logging data of reservoir at different logging depths, wherein the logging data includes the permeability, porosity, water saturation and shale content of the reservoir;Determine reservoir quality factor based on the logging data;And reservoir quality factor curve is formed based on the reservoir quality factor at different logging depths, and reservoir distribution prediction is carried out.The embodiment of the present application obtains reservoir quality factor based on permeability, porosity, water saturation and shale content, and the reservoir quality factor can accurately identify reservoir, so as to accurately predict reservoir distribution, which is beneficial to higher reservoir drilling rate for well deployment.

The application discloses a horizontal well abnormal guidance early warning method and device, a storage medium and equipment, and belongs to the technical field of oil and gas engineering drilling and completion. The method comprises the following steps: acquiring three-dimensional position coordinate data, GR data while drilling, drilling time data and lithology logging data of drilled wells in a target block as an input data set; simulating GR data while drilling of a new well according to the GR data while drilling of the drilled wells, combining the input data set, and obtaining the predicted depth of the drill bit of the new well through a horizontal section intelligent guidance judgment model; and judging whether an abnormality occurs in the drilling process according to the predicted depth and a target formation. The application constructs a horizontal section borehole trajectory prediction model in the drilling process based on an artificial intelligence method, solves the problems that a drilled position cannot be found in time and a drill bit cannot be automatically adjusted in the horizontal well drilling process, improves the horizontal well drilling efficiency and reservoir drilling rate, improves the single-well production and recovery rate of an oil and gas reservoir, and reduces the field construction cost.

The application provides a carbonate fracture-cave zone facies-controlled post-stack geostatistics inversion method. The inversion method comprises the following steps: obtaining reservoir and non-reservoir probability data bodies; obtaining cave-type reservoir probability data bodies and fracture-hole-type reservoir probability data bodies; taking the reservoir probability data bodies as three-dimensional lithofacies probability constraints of the fracture-cave zone and taking the non-reservoir probability data bodies as three-dimensional lithofacies probability constraints of the surrounding rock; taking the cave-type reservoir probability data bodies as three-dimensional lithofacies probability constraints of the cave and taking the fracture-hole-type reservoir probability data bodies as three-dimensional lithofacies probability constraints of the fracture hole; performing fracture-cave zone facies-controlled post-stack geostatistics inversion to obtain an inversion P-wave impedance body; using well logging P-wave impedance and porosity crossplot analysis to obtain a P-wave impedance and porosity regression curve; and converting the inversion P-wave impedance body into an inversion porosity body according to the P-wave impedance and porosity regression curve. The application solves the problem of low prediction accuracy of the existing technology for fault-controlled fracture-cave-type carbonate reservoirs.

The invention provides a multi-well stratigraphic mapping determination method and device based on logging-while-drilling data. The method comprises the steps that at least one kind of logging-while-drilling data of at least one adjacent well of a target well is obtained; determining a maximum similar attribute solution between the target well and the adjacent well according to the logging-while-drilling data corresponding to the target well and the logging-while-drilling data corresponding to the adjacent well; and determining stratigraphic mapping between the target well and the adjacent well according to the maximum similar attribute solution. According to the multi-well stratum mapping determination method based on the logging-while-drilling data provided by the embodiment of the invention, the strata among the multiple wells can be mapped more accurately, so that the geosteering workload is effectively reduced, and finally, the drilling rate of a high-quality reservoir is improved.

The application discloses a near-bit array ultrasonic velocity imaging logging device and method, relates to the technical field of logging, and comprises a drill collar sub, a logging acoustic system and a booster plate. The logging acoustic system comprises a focused transmitting probe and an array receiver. A sound insulation groove is arranged on the drill collar sub between the focused transmitting probe and the array receiver. Ultrasonic waves excited by the focused ultrasonic probe are refracted in the stratum at the well wall to generate sliding longitudinal and transverse waves through the fluid in the well, and are received by the array receiver through the fluid in the well. The first wave received by the array receiver is the sliding longitudinal wave of the stratum. The application can measure the stratum velocity near the drill bit in real time, accurately determine the position of the drill bit, timely adjust the well trajectory, reduce the risk of out-of-zone, and increase the reservoir drilling rate.

The present application relates to a method for establishing a logging model for tracking while drilling of a horizontal well in an edge-bottom water reservoir, the method comprising the steps of establishing a cross plot of a natural gamma logging curve and a resistivity curve of a target layer of a horizontal well in an edge-bottom water reservoir; determining the boundary value of the natural gamma logging curve of sandstone and mudstone in the target layer; determining the boundary value of the resistivity curve of the oil layer, the oil-water layer, the water layer and mudstone in the target layer; normalizing the natural gamma logging curve; normalizing the resistivity curve; establishing a logging model for an edge-bottom water reservoir according to the normalized processing result of the natural gamma logging curve and the normalized processing result of the resistivity curve. The present application method can effectively improve the oil layer encounter rate of a horizontal well.