397 results about "Well placement" patented technology

A method of constructing an injection well for a geothermal energy system comprising determining a fracture area of an injection well with a curved wellbore by inputting the curved wellbore path, a set of formation properties, and a fracturing operation, into a fracturing model. The curved wellbore path can promote fracture interference between fracture stresses extending from the injection wellbore. A production model can determine an economic value of the production fluids produced from at least one production well by determining a contact time for the injection fluids to traverse the formation. A design process can iterate the curved wellbore path of the injection well to produce a production fluid with an economic value above a threshold value.

A well location and well trajectory determination method, comprising: on the basis of a stratum pressure test, and a flow phase constraint of each stratum, establishing a full-stratum-series three-dimensional rock mechanical parameter field model, so as to obtain full-stratum-series rock mechanical parameters; on the basis of a geological structure, and a stratum pressure field of each stratum, establishing a three-dimensional full-stratum-series stress field prediction model, so as to acquire full-stratum-series three-dimensional stress field parameters; on the basis of the full-stratum-series rock mechanical parameters, the full-stratum-series three-dimensional stress field parameters and a three-dimensional natural fracture model, establishing a natural fracture activity prediction model, so as to evaluate fracture activity; and determining a well location and a well trajectory on the basis of a three-dimensional original field geostress model, a three-dimensional fracturability prediction model, the fracture activity and a three-dimensional collapse pressure prediction model. By means of the method, the effects of drilling speed increases and modification and production increases can be achieved in complex oil and gas field blocks. Further provided are a drilling speed increase method, a modification and production increase method, a well location and well trajectory determination apparatus, an electronic device, and a computer-readable storage medium.

A method of constructing an injection well for a geothermal energy system comprising determining a fracture area of an injection well with a curved wellbore by inputting the curved wellbore path, a set of formation properties, and a fracturing operation, into a fracturing model. The curved wellbore path can promote fracture interference between fracture stresses extending from the injection wellbore. A production model can determine an economic value of the production fluids produced from at least one production well by determining a contact time for the injection fluids to traverse the formation. A design process can iterate the curved wellbore path of the injection well to produce a production fluid with an economic value above a threshold value.

The invention belongs to the technical field of oil and gas reservoir energy development, and discloses a three-dimensional injection and production well pattern construction method based on a multi-objective algorithm. The problem that the delimited potential area is difficult to effectively use due to the fact that existing potential evaluation is only based on a single index is effectively solved. Comprising the steps that a fault inner core, a fault outer core, a fracture development dense zone and a secondary fracture zone are proposed; carrying out inter-well connectivity analysis on the oil reservoir units by utilizing an oil reservoir engineering method and a numerical simulation streamline method; based on the embedded discrete fracture model, analyzing a remaining oil distribution mode under the control of the nuclear band structure; a multi-parameter comprehensive evaluation system is constructed by combining the remaining oil utilization potential, the displacement power, the flow capacity, the connectivity relation and the reserve abundance; a three-dimensional injection-production well pattern construction technology is formed for an oil reservoir with or without bottom water; based on a multi-objective optimization algorithm, three-dimensional collaborative optimization of the recovery ratio, the well control reserves and the net present value is taken as a core, and a high-efficiency well location deployment technology for different fault zones is constructed.

Systems and methods are for autonomous real-time 3D interactive planning and execution of well paths in a reservoir and controlling drilling of wells within the reservoir. A data processing system determines in-situ well placement based on mapping of the subsurface. The data processing system can optimize well placement based on two-dimensional (2D) or three-dimensional (3D) subsurface mapping based on proactive planning and interactive data acquisition and analysis.

The invention belongs to the technical field of shale oil horizontal well three-dimensional development, and particularly discloses a shale oil three-dimensional well network well location multi-objective optimization method which is used for solving the problem of how to achieve multi-objective collaborative optimization of the recovery ratio, the economic benefit and the inter-well interference degree. Comprising the following steps: (1) constructing a multi-field coupling dynamic oil drainage volume characterization model; (2) establishing an inter-well interference degree quantitative evaluation system based on the dynamic oil drainage volume characterization model; (3) realizing multi-source data fusion and high-precision prediction on the dynamic oil drainage volume, the recovery ratio, the net present value and the inter-well interference degree by combining a CNN-LSTM deep learning prediction model; and (4) implementing multi-objective optimization based on an NSGA-III multi-objective optimization algorithm, and comprehensively balancing the recovery ratio, the net present value and the inter-well interference degree on the premise of meeting engineering and economic constraints. Reliable technical support is provided for decision deployment of oil reservoir engineers under complex development conditions.

A method of optimizing a set of oil producing wells to be drilled in a reservoir includes receiving a base reservoir simulation representative of a geological oil reservoir, clustering the reservoir, and generating, in a first process, a possible pool of well positions in the reservoir, where each well position satisfies plausibility and respects operational constraints. The method further includes, in a second process, optimizing the pool of well positions, the second process maximizing a dynamic variable of the reservoir, and outputting the optimized pool of wells to a user. In embodiments, the second process further includes training a DNN surrogate model to forecast the production of the reservoir; and using the trained DNN surrogate model, optimizing the pool of wells.

The invention provides a coal-bed gas well production dynamic analysis method and system based on AI time sequence prediction, and the method comprises the steps: firstly collecting a production dynamic data sequence of a coal-bed gas well, a corresponding well position geological condition data sequence and a surrounding environment data sequence, and constructing a ternary time sequence dynamic association network comprising node dynamic time sequence segments and a connection line real-time association relationship; and then calling a pre-trained AI time sequence coupling deviation evolution mining model to process the ternary time sequence dynamic association network to obtain a ternary time sequence coupling deviation result. And a deviation conduction closed-loop path is determined according to a ternary time sequence coupling deviation result in combination with forward conduction positioning and reverse tracing verification, and a deviation conduction analysis report is generated. And finally, generating a dynamic regulation strategy based on the deviation conduction analysis report in combination with a production dynamic prediction threshold value, outputting the dynamic regulation strategy to a production control terminal, and meanwhile, feeding back regulation data to update a network node association relationship, thereby realizing accurate analysis and regulation of the production dynamic state of the coal-bed gas well.

Systems and methods for controlling extraction of landfill gas from a landfill via a gas extraction system are provided herein. According to some aspects of the technology, there is provided site-level control methods for globally controlling one or more wells based on one or more characteristics of aggregate landfill gas collected from a plurality of wells at a gas output. According to some aspects of the technology, there is provided well-level control methods for locally controlling a first well based on or more characteristics of landfill gas collected from the first well. According to further aspects of the technology, there is provided hybrid control methods for making adjustments to a respective well based on both site-level and well-level control methods.

The invention provides a reservoir in-situ key rock mechanical parameter space inversion prediction method and a reservoir in-situ key rock mechanical parameter space inversion prediction system, and belongs to the field of shale oil and gas geology, and the reservoir in-situ key rock mechanical parameter space inversion prediction method specifically comprises the following steps: carrying out a nanoindentation experiment to obtain an indentation experiment database, and simulating rock indentation experiments under different conditions to obtain a macroscopic indentation numerical model; using a Latin hypercube sampling method to obtain a simulation parameter combination database, carrying out batch numerical experiments, and constructing an inversion data set; according to the inversion data set, training the deep neural network model subjected to Bayesian optimization to obtain a single-point inversion prediction model; further establishing a spatial inversion prediction model according to a Kriging interpolation algorithm; and inputting real-time detection data of the deep rock stratum into the spatial inversion prediction model to obtain real-time underground rock mechanical parameter spatial distribution data of the deep rock mass. The deep reservoir space key rock mechanical parameters can be accurately inverted, and a basis is provided for well spacing, well trajectory design, fracturing scheme optimization and the like.

The invention relates to the technical field of reservoir numerical simulation, and discloses a polymer flooding reservoir rapid simulation optimization method considering sedimentary facies constraints, which comprises the following steps: identifying sedimentary facies boundaries according to distribution characteristics of sedimentary facies, and establishing a connected network model considering the sedimentary facies constraints on the basis of the sedimentary facies boundaries, well positions and various sedimentary facies attributes; carrying out one-dimensional grid division on the connected network model, converting the connected network model into a grid connection format of a universal simulator, and solving the connected network model by adopting the universal simulator to obtain pressure and saturation solutions; establishing an automatic historical fitting mathematical model based on sedimentary facies and oil reservoir constraint conditions; the economic net present value is used as an index, the water injection rate, the liquid production rate and the polymer injection rate of each well are used as optimization variables, the differential evolution algorithm is used, the total polymer injection amount and the oil reservoir pressure are restrained, and an oil reservoir injection and production optimization mathematical model is established. According to the method, the oil reservoir is optimized by comprehensively considering the characteristics of the oil reservoir after water flooding is converted into polymer flooding, so that rapid decision-making of the oil field and guidance of oil field construction are realized.

The invention discloses a deep heat storage large-scale fracturing construction scheme design method based on a weak structure, and relates to the technical field of high-temperature geothermal resource exploration and development, and the method comprises the following steps: depicting and characterizing the weak structure of a deep heat storage large-scale fracturing stratum to obtain a comprehensive characterization large model; based on the comprehensive characterization large model, delineation and fracturing performance evaluation are conducted on a weak structural zone of the deep heat storage scale fractured stratum, and a delineated area is obtained; on the basis of the delineated area, the farthest disturbance range and distance of fracturing transformation of the weak structure of the deep heat storage scale fractured stratum are predicted; and determining a well spacing, designing a well location, deploying a well pattern and optimizing a fracturing layer section based on the fracturing property and the predicted farthest disturbance range and distance of thermal storage fracturing transformation, and completing the design of a deep thermal storage large-scale fracturing construction scheme. According to the method, through construction and analysis of the comprehensive characterization large model, the stratum weak structural zone suitable for fracturing can be accurately delineated, the farthest disturbance range and distance of fracturing transformation are predicted, and efficient mining is achieved.

The invention belongs to the field of streamline calculation in oil reservoir development, and particularly relates to an oil reservoir well pattern streamline fault avoidance calculation method. The method comprises the following steps: (1) establishing a three-dimensional oil reservoir geologic model by using seismic and geological exploration data, and obtaining a gridded oil reservoir model by adopting a Delaunay triangulation technology; (2) streamline simulation is carried out based on a seepage equation of underground fluid, and streamline distribution of an oil reservoir well pattern is generated in the gridded oil reservoir model; (3) judging the contact risk of the streamline and the fault, and calculating an evasion path of the streamline; (4) well position optimization adjustment is conducted through a simulated annealing algorithm so as to ensure that the streamline and the fault do not intersect; (5) performing streamline verification, and if the verification is passed, outputting a streamline result; and if the streamline verification is not passed, returning to the step (4). According to the method, the streamline in the oil reservoir is simulated and optimized, the fault area is avoided in the well pattern layout, and efficient development of the oil reservoir is achieved.

Systems and methods for managing records and predictions of the subsurface fracture spacing are disclosed. The methods may include, using a computer system: obtaining, from a discontinuity database, discontinuity data and geological layering data, filtering the discontinuity data to output a plurality of arrays of fracture spacings, determining, using the plurality of arrays of fracture spacings, a spatial data analysis and a confidence interval, determining, using the spatial data analysis and confidence interval, a fracture cluster spacing, and determining, using the fracture cluster spacing and the confidence interval, a random fracture spacing and a fracture set spacing. The methods may further include determining, using a geomodeling system, a well placement target based, at least partially, upon the random fracture spacing and the fracture set spacing; and drilling, using a drilling system, the well placement target determined by the geomodeling system.

The invention provides a well position deployment construction method for a fractured horizontal well considering mine pressure treatment and gas extraction. The well position deployment construction method comprises the steps that firstly, a target key layer is determined; secondly, a ground L-shaped horizontal well is constructed; thirdly, hydraulic staged fracturing is conducted; step 4, reinjection; step 5, filling; sixthly, gas is extracted in a high extraction roadway; and 7, high-position drilling gas extraction is carried out. The method has the advantages of being controllable in drilling track, wide in influence area, low in construction cost and the like, rock burst can be effectively prevented and controlled, the problem that gas in a mining area and a goaf exceeds the limit is solved, meanwhile, the roadway tunneling work amount is reduced, and the purposes of reducing cost and improving efficiency are achieved. According to the method, multiple purposes are achieved through one well, treatment of the rock burst area of the deep coal seam is achieved, the gas extraction effect of a mining area in stoping and the gas extraction effect of a goaf after stoping are improved, and safe production of a mine is guaranteed.

The invention discloses a new method for constructing an oil reservoir simulation agent model based on transfer learning, and relates to the technical field of petroleum engineering, and the method comprises the steps: building a fine-scale oil reservoir model; constructing a high-fidelity data set; carrying out scale upgrading and coarsening on the oil reservoir model; constructing a low-fidelity data set; constructing a deep learning model; training a pre-training model by using the low-fidelity data; finely tuning the pre-training model by using the high-fidelity data; and predicting output parameters. According to the method, it can be guaranteed that under the condition that a small amount of high-fidelity training data is used, oil reservoir multi-term flow under the variable well control condition can be accurately predicted, dependence on the high-fidelity training data in the agent model building process is effectively reduced, and the agent model building time is shortened on the premise that prediction precision is not affected. According to the method, the embedded module is introduced to process the time-varying well control parameters, the problem that matrix element parameters corresponding to well positions are difficult to effectively diffuse to the whole output result through finite times of convolution is solved, and the global influence of the well control parameters on the output result of the proxy model is improved.

The present invention discloses a historical well network fitting method, device, equipment and medium based on KD-tree, including: drawing a historical well location map of a target oil field according to the historical well location layout information of the target oil field; determining the well network center and the well network boundary map according to the historical well location map; based on the well network boundary map, taking the well spacing value, well network angle, longitudinal translation distance, lateral translation distance, well network rotation angle and well network positive and negative directions as variables, traversing several combinations, each combination corresponding to a well location map to be measured; based on the KD-tree algorithm, determining the number of the same wells in each well location map to be measured; using the well location map to be measured corresponding to the maximum number of the same wells as the target well location map of the target oil field. The present invention belongs to the field of well network layout. The present invention can improve the efficiency of well network design and save manpower and time costs.

The invention discloses a well network and well location optimization method based on a flow field area and equilibrium utilization evaluation, and relates to the technical field of petroleum engineering. On the basis of streamline numerical simulation, a water-drive reservoir streamline numerical simulation well location optimization model is constructed, a target function based on a production system, optimization variables, constraint variables and flight time balance is defined, an initial population is constructed on the basis of Latin hypercube sampling, and a water-drive reservoir streamline numerical simulation well location optimization agent model is constructed; and based on a Q-Learning enhanced marine predator algorithm, performing simulation by using the water-drive reservoir streamline numerical simulation well location optimization agent model, obtaining streamline data and derivative data obtained by simulation of the water-drive reservoir streamline numerical simulation well location optimization agent model, and performing well network and well location optimization. According to the method, the well position optimization speed and optimization effect are effectively improved, the evaluation period of the well position arrangement scheme is remarkably shortened, and the comprehensive economic benefits of oilfield development are improved.

The invention relates to the technical field of oil-gas exploration, and discloses a strike-slip fracture identification method and device based on a multi-seismic attribute fusion technology, and the method comprises the steps: firstly obtaining the seismic data and geological background data of a target region, and then carrying out the recognition of a strike-slip fracture based on the geological background and seismic data; seismic section interpretation is carried out, coherence, curvature, tensor thickness, symmetry illuminance attributes and maximum likelihood attributes are calculated, and finally, according to the fracture scale, optimal attributes are determined and quantitative fusion is carried out to identify the strike-slip fault zone. According to the method, for fractures of different scales, different attributes are preferably selected for quantitative fusion, the advantage complementation effect between different features is achieved, the fracture recognition precision and sensitivity are improved, and researchers are effectively assisted in research work in the aspects of fracture and well location.

The invention discloses a drilling-measurement constrained three-dimensional geothermal geologic attribute modeling and quantification method, and relates to the technical field of data analysis and processing, and the method comprises the following steps: 1, constructing a drilling-measurement constrained three-dimensional geothermal geologic voxel basic model, and forming a three-dimensional geothermal geologic voxel basic model covering a modeling range; 2, constructing an implicit signed distance field on the three-dimensional geothermal geologic voxel basic model to express fracture geometry, generating a unified implicit geothermal geologic voxel field, and redividing voxel categories according to the unified implicit geothermal geologic voxel field; and step 3, executing moving cube surface reconstruction and prior sensitivity analysis on the unified implicit geothermal geologic voxel field to give a space confidence body and a volume interval, and dividing the space confidence body and calculating the volume interval according to the voxel occurrence frequency. Evaluation of the geothermal body is changed from traditional single volume estimation to interval and confidence expression, and a reliable basis is provided for well position deployment, risk management and development planning.

The invention discloses a cellular coalbed methane exploration and development well pattern deployment method, which comprises the following steps: step 1, carrying out geological exploration and analysis, and determining the distribution, reservoir characteristics and geological conditions of coalbed methane; 2, according to occurrence characteristics and geological conditions of the coal bed gas, a honeycomb type well pattern layout is designed; step 3, accurately arranging a well position: optimizing the well position by utilizing a geographic information system and a computer simulation technology; 4, drilling operation is conducted, specifically, in the drilling process, a directional and horizontal drilling technology is adopted, and it is ensured that drilling is conducted according to the preset track and angle; 5, fracturing operation is conducted, specifically, fracturing fluid is injected into the well through a high-pressure pump, cracks are formed, and the permeability of the coal seam is improved; and step 6, carrying out production testing and monitoring. According to the method, the honeycomb structure is simulated, the mining wells are evenly distributed on the coal seam, the coal seam area can be covered to the maximum degree, comprehensive covering and efficient development of coal seam gas resources can be achieved, and the recovery rate of coal seam gas is increased.

The invention belongs to the technical field of oil and gas geophysical exploration, and discloses a horizontal well constrained seismic inversion method and system, and the method comprises the steps: intercepting a logging curve of a horizontal section; channel spacing resampling is carried out on the intercepted horizontal section logging curve; numbering sampling points of the resampled logging curve, and constructing a horizontal section data set; constructing a target inversion function based on the horizontal segment data set; and substituting the post-stack seismic data set into the target inversion function, and performing inversion to obtain a wave impedance prediction value corresponding to each channel of seismic data. According to the inversion method, the characteristic that the horizontal well crosses a seismic channel is considered, a horizontal well transverse constraint multi-channel target inversion equation is constructed, the horizontal well transverse change constraint seismic transverse inversion is utilized, the horizontal well constraint seismic inversion method and device are researched and developed, a high-precision and high-resolution wave impedance inversion result is obtained, and the method and the device are suitable for large-scale popularization and application. And powerful technical support is provided for comprehensive evaluation of oil and gas fields and well location deployment.

The invention discloses a coal underground gasification injection-production well pattern determination method, device and equipment and a medium. The method comprises the steps that an injection well site is determined according to a gasification control area of a target reservoir development body, and an injection well bore structure is determined according to injection conditions and coal seam parameters corresponding to the gasification control area; determining a migration path concentration area and an enrichment area of preset generated gas, and determining a production well site according to the migration path concentration area and the enrichment area of the preset generated gas; and according to the injection well site, the injection well body structure and the production well site, coal underground gasification injection-production well pattern distribution of the target reservoir development body is determined. According to the technical scheme, by selecting the proper injection well site, the injection well body structure and the production well site, coal underground gasification injection-production well pattern distribution is determined, coal underground gasification injection-production well pattern deployment is achieved, and the coal seam combustion rate and the preset generated gas recovery rate are increased.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

The present invention discloses a method and system for identifying low-velocity mudstone based on attribute clustering. It includes: by analyzing the logging data and seismic data of exploration wells in the work area, dividing the low-velocity mudstone into bright spot type and non-bright spot type, and analyzing their characteristics. Establishing a three-layer medium model and conducting seismic forward modeling to obtain the seismic response characteristics of different models. Then, extracting and optimizing seismic attributes from the forward modeling results. Using the CLARA clustering algorithm and the PAM method to conduct clustering analysis on the attributes to identify the types of low-velocity mudstone and gas-bearing sandstone. The present invention improves the identification accuracy of low-velocity mudstone and gas-bearing sandstone, and provides technical support for exploration and well location deployment.

The invention discloses a three-dimensional dynamic prediction method and system for deep brine resource quantity, particularly relates to the technical field of mineral resource exploration, and is used for solving the problem of resource evaluation misalignment caused by a well group interference effect in intensive mining. The method comprises the following steps: constructing a spatial topology network model which takes a well location as a node and a well spacing as an edge weight by obtaining a mining area well group space coordinate and mining dynamic time sequence data; excavating pressure conduction characteristics, resource concentration migration characteristics and shaft temperature time sequence data; calculating a thermal buoyancy gradient based on temperature data, determining a stress deflection angle in combination with a network model azimuth angle, and fusing to construct an interference strength coefficient matrix; tracking an inter-well resource siphon path by using a network edge weight, and generating a time-lag compensation factor by coupling a time-lag rule of pressure and concentration characteristics; finally, the interference matrix, the siphon path and the time delay factor are fused to dynamically correct the single well evaluation value, the total area brine resource amount is output, and the intensive mining area resource evaluation precision is remarkably improved.

The invention relates to geophysical inversion, in particular to an electromagnetic inversion method based on well electric-seismic joint modeling, which comprises the following steps: acquiring actually measured apparent resistivity data; well-to-seismic joint stratum thickness and stratum apparent resistivity modeling based on geosteering; performing one-dimensional band source apparent resistivity inversion based on a nonlinear least square fitting algorithm; and outputting a stratum apparent resistivity inversion result. The method is based on geosteering, the advantages of three geophysical prospecting methods of earthquake, logging and electromagnetism are fully fused and played, the multiplicity of electromagnetic inversion solutions is reduced, the inversion depth and accuracy are improved, and powerful guarantee is provided for subsequent section interpretation, well position deployment, fluid identification and other operations. The invention also provides a device for realizing the electromagnetic inversion method based on well electric shock joint modeling.

The invention provides a quantitative characterization method and a quantitative characterization system for oil and gas transport efficiency of a sandstone lateral migration channel, and the method comprises the steps: obtaining a contour line included angle and a target stratum inclination angle of each well position at two sides of a construction ridge or valley according to a target stratum top surface construction contour map, and constructing a construction ridge or valley transport index according to the contour line included angle; buoyancy borne by the target stratum of each well position is obtained according to the target stratum dip angle; obtaining the residual pressure difference gradient of each well position according to the target layer pressure plane distribution diagram; superposing the contour map of the top surface structure of the target stratum and the pressure plane distribution map to obtain an included angle between an inclined reverse extension line and a residual pressure difference gradient direction in the target stratum of each well position; obtaining the weighted average permeability and the porosity of the target layer of each well location, the ridge or valley construction conduction index of each well location, the buoyancy borne by the target layer, the residual pressure difference gradient and the included angle to construct comprehensive evaluation indexes of each well location; and quantitatively characterizing the oil and gas transport efficiency of the sandstone lateral migration channel by using the comprehensive evaluation indexes of each well location. According to the invention, the lateral conduction channel conduction efficiency can be evaluated visually, simply and conveniently.

The present invention relates to a method for predicting the temperature of production fluid in a karst geothermal well-injection system. The method involves pre-collecting relevant geological data on the geothermal system and data related to the operation of the well-injection system, determining tracer composition and calculating the injection amount. Tracer tests are then conducted in the karst well-injection system to obtain tracer test results and plot curves. Based on the tracer test results, Qtracer2 software is used to calculate the tracer recovery rate, cross-sectional area, and height of the karst channel. The boundary conditions of the karst geothermal heat transfer model are determined, a time period is set, and the temperature changes in the production well are calculated based on the heat transfer model. This method for predicting the temperature of production fluid in the well is accurate and reliable, highly operational, and quick and convenient. It solves the problem of predicting the temperature of production fluid in the well of the well-injection system under long-term well recharge conditions and plays an important guiding role in the selection of karst geothermal production and recharge plans and the well location layout for later projects.

The invention relates to a pre-drilling stratum depth prediction method, and belongs to the technical field of oil and gas field exploration and development. According to the seismic interpretation result and the geological data, determining well position coordinates of a design well or an intention well in the target area, converting the well position coordinates of the design well or the intention well into geographic latitude and longitude coordinates, and obtaining well point elevation data values of the design well or the intention well according to the current latitude and longitude coordinates and the topographic data of the target area; performing well-seismic joint time-depth conversion work, determining sand body top and bottom positions and a horizontal section track of a well section of the design well according to the horizon after depth conversion and a transverse change trend of seismic inversion, and predicting a horizontal section track depth value of the design well or the intention well according to a seismic datum plane and an elevation data value of the design well or the intention well; according to the method, well point elevation data can be rapidly and accurately obtained, and the well point depth value can be rapidly and accurately determined.