46 results about "Well placement" patented technology

This invention relates to the field of geophysical exploration and oil and gas geological analysis technology, and discloses a method for predicting fractured reservoirs in carbonate buried hills based on geological guidance and multi-scale fusion. The method includes: constructing a three-dimensional geological guidance constraint body using paleogeography and fault systems as geological priors; characterizing the fracture response mechanism using Gabor wavelet frequency division and structural tensor; constructing sensitive attributes and predicting the fracture body using a multi-branch convolutional neural network that fuses multi-source seismic attributes; and calculating the fracture complexity index based on the predicted fracture body to classify and zone the buried hill fractures. This invention introduces geological guidance constraints to improve the geological consistency of the prediction results; utilizes multi-scale Gabor frequency division and structural tensor analysis to achieve multi-scale fracture characterization; enhances model interpretability and prediction accuracy by fusing multi-source attributes through a multi-branch convolutional neural network; and achieves quantitative reservoir classification through the fracture complexity index, effectively guiding well location deployment and drilling decisions.

This invention relates to a star-rating management method and system for the deployment and implementation of gas field development wells, belonging to the field of gas field development technology. The invention first establishes an initial production estimation expression and dimensionless production curves for gas wells using dynamic production data from existing similar gas wells. Then, it uses these results to determine the production rate of newly deployed gas wells and, based on production and cost, determines the internal rate of return (IRR) for these wells. If the required IRR is not met, the deployment location and construction process of the new wells are re-optimized until the required IRR is achieved. Simultaneously, the star rating of the gas well's economic benefit is determined based on the IRR. Drilling is then carried out at the new well deployment location that meets the economic development requirements. After drilling, a more detailed fracturing design is conducted, and the IRR and star rating of the gas well are re-determined according to the new design. This invention effectively improves the targeting of single-well geological design and fracturing construction design, thereby improving development results and quality.

This invention discloses a device for installing and removing circuit subs and its method of use, comprising a connecting rod, a rotating component, a connecting member, a retractable component, a pushing component, and a pulling component; the rotating component, the connecting member, and the retractable component are sequentially connected along the axial direction of the connecting rod; the rotating component is movably connected to the connecting rod; the connecting member is fixed circumferentially along the connecting rod and movably axially along the connecting rod; the inner diameter of the retractable component is larger than the minimum outer diameter of the pulling component and smaller than the maximum outer diameter of the pulling component; when installing or removing circuit subs, the pushing component or the pulling component is connected to the free end of the connecting rod near the retractable component. This device has a simple structure, reasonable design, convenient operation, saves manpower, is easy to carry, and enables on-site disassembly, inspection, and replacement of circuit subs, greatly improving work efficiency and ensuring the requirements of well drilling and logging parameters.

The invention relates to a buried hill gas storage effective gas storage space evaluation method, and belongs to the technical field of oil-gas exploration. The method comprises the following specific steps: acquiring fracture development parameters; determining the type of a storage space; reservoir logging response characteristics are determined; extracting buried hill cracks; establishing a bedrock geologic model and a bedrock buried hill discrete fracture model of the target area; and importing the results into a gas storage simulation model in the form of data flow, extracting effective gas storage spaces of a substrate and a crack of the buried hill gas storage, and determining a final buried hill building effective gas storage space. Through research on the method for calculating the reservoir space of the buried hill oil and gas reservoir rebuilt gas storage, the problem of invalid reservoir space calculation is deducted, the calculation accuracy is improved, and theoretical support is provided for calculation of the buried hill reservoir building capacity and later injection and production well position deployment.

The present application relates to a method for predicting pre-drilling stratigraphic profile based on multi-algorithm interpolation of well logging curves, comprising: predicting the top / bottom and thickness of each layer of the target well based on stratified data; aligning the normalized depth within the layer; predicting multiple well logging curves by using multi-algorithm (at least IDW and Kriging) interpolation; correcting the proximity and mapping the depth based on the well deviation trajectory; outputting the multi-depth reference predicted curve and the stratigraphic position QC result. Further comprising lithology profile prediction: obtaining the classification probability by using stratified supervised classification, and fusing the spatial prior probability obtained based on the lithology of adjacent wells and distance weight to output the lithology interval of the target well and the profile comparison chart. This method comprehensively utilizes the well logging curves of adjacent drilled wells, stratigraphic position stratified data, well location and well deviation trajectory information, and under the unified depth reference, performs multi-algorithm horizontal interpolation prediction on multiple well logging curves of the target well, and further combines supervised learning and spatial prior to realize lithology profile prediction, and outputs the stratigraphic profile results which can be used for pre-drilling decision and well location deployment.

The present application relates to the technical field of oil exploitation, in particular to a well pattern and well location deployment method for injection wells in an extra-high water cut period. According to the injection well control type in the block in the extra-high water cut period, the present application performs feature screening on the production parameter data of each well in the block, obtains the screened feature production parameter data, constructs a graph network structure based on the screened feature production parameter data and the inter-well connectivity features between the injection wells and the production wells, builds a graph attention network model based on the constructed graph network structure, and predicts the injection well control type in the extra-high water cut period, and deploys the well pattern and well location through the prediction result. The present application significantly improves the accuracy of the injection well control type prediction and improves the effect of the well pattern and well location deployment of the oilfield injection wells.

The present application belongs to the technical field of oil exploration, and discloses a method for evaluating the development degree of sand-mudstone reservoir-cap assemblage, which specifically comprises the following steps: conducting regional data analysis for a study area, and mastering the core / cuttings data, logging data and oil testing and production testing data of drilled wells, as well as the seismic data and seismic interpretation horizon data of the whole work area; conducting pre-stack deterministic inversion based on Zeoppritz equation to obtain the data body of the ratio of P-wave velocity to S-wave velocity in the work area; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the sandstone layer interpreted by the seismic data to obtain the plan view of the sandstone reservoir; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the mudstone layer interpreted by the seismic data to obtain the plan view of the mudstone cap rock; quantifying the relative development degree of the reservoir-cap assemblage by a development degree index calculation formula, constructing the plan view of the development degree index of the sand-mudstone reservoir-cap assemblage, and quantitatively dividing the development degree of the reservoir-cap assemblage. The present application can clearly define the development range of high-quality reservoir-cap assemblage, delineate the favorable exploration area, and further guide the well site deployment of exploration wells.

Some implementations provide a method including: accessing measurement data that characterize one or more features of a reservoir, wherein the measurement data are from more than well locations of the reservoir and from a range of depths inside the reservoir; detecting portions of the measurement data that characterize the one or more features with a statistical metric that is below a pre-determined threshold; based on removing the portions of the measurement data, identifying a plurality of layers along the range of depths of the reservoir; within each layer of the plurality of layers, grouping the measurements data among a plurality of clusters, each corresponding to a flow unit (FU) and determined by a machine learning algorithm; generating a three-dimensional (3D) permeability model of the reservoir based on the FU of each layer and a saturation height function; and simulating a performance of the reservoir based on the 3D permeability model.

The application discloses a deep coal seam different occurrence state gas content prediction method and system, and the prediction method comprises the following steps: obtaining logging data of a certain area of a deep coal seam, and corresponding gas content and porosity labels; pre-processing the logging data; constructing a deep coal seam total gas content prediction model and a deep coal seam porosity prediction model, and training the deep coal seam total gas content prediction model and the deep coal seam porosity prediction model respectively; applying the trained two prediction models to a target well area to predict the total gas content and the porosity of the coal seam; establishing a free gas content calculation model to calculate the free gas content, and then combining the obtained deep coal seam total gas content and free gas content to calculate the deep coal seam adsorbed gas content; and using the predicted deep coal seam total gas content, free gas content and adsorbed gas content data and the coordinates of the corresponding well site to generate a deep coal seam different occurrence state gas content planar distribution map of the area.

A method for predicting a property of a subsurface formation, includes: drilling one or more wellbores into the subsurface formation at a well location; conducting a seismic survey at the well location to construct a primary seismic image volume, the primary seismic image volume dataset comprises at least a pressure wave velocity vp, a shear velocity vs, and a density rho, in both time and frequency domains; conducting well logging at the one or more wellbores to generate logging information at the well location; generating an auxiliary seismic image volume for seismic-guided property prediction using Kriging at the well location; generating a prediction operator based on the primary seismic image volume, the auxiliary seismic image volume and the well logging information; feeding a seismic image volume and the prediction operator into a property prediction engine; and generating the predicted property of the subsurface formation.

The present application relates to the field of oil and gas field development research, and provides a method for improving target radius in drilling, comprising the following steps: step 1, determining the main layer of the target block, and determining the production capacity of the main layer; step 2, determining the sweet spot distribution of the well site deployment area based on at least the production capacity of the main layer, and determining the main layer plane and the longitudinal distribution trend of the main layer of the well site deployment area; step 3, determining the well point position based on at least the main layer plane and the longitudinal distribution trend of the main layer of the well site deployment area, and determining the well pattern; step 4, determining the target area range based on at least the well pattern, designing the target point, and designing the target point with the depth of the main layer as the target area range; and step 5, determining the directional well trajectory. The present application takes the depth of the main layer as the design target point, and considers the regular well pattern, so that the directional error of the well trajectory can be effectively reduced, the target accuracy can be improved, the well trajectory can be optimized, the footage can be further reduced, the drilling cycle can be shortened, the field operation efficiency can be improved, and the investment can be saved.

This invention relates to the field of geophysical exploration and proposes a fracture analysis method, apparatus, equipment, medium, and program, including: acquiring seismic data; performing angular domain migration imaging processing on the seismic data to obtain common reflection angle gather data; calculating the variation curve of the common reflection angle gather data with azimuth angle to obtain azimuth anisotropy data; converting the azimuth anisotropy data into an azimuth anisotropy parameter volume; using the azimuth anisotropy parameter volume to correct the common reflection angle gather data into corrected gather data; and performing data inversion on the corrected gather data to obtain fracture analysis data. This invention assists in oil and gas exploration and development by providing accurate fracture analysis data, which can more accurately determine key characteristics such as the development direction, density, and distribution range of underground fractures. This helps assess the quality of fractured reservoirs, thereby scientifically guiding well location deployment, development plan formulation, and other work, improving the success rate and efficiency of oil and gas exploration and development.

The invention discloses a trend probability constrained hierarchical phase control modeling method and a three-dimensional geologic model, and belongs to the field of oilfield development, and the method comprises the steps: determining small-layer structure features in a target region, and solving a small-layer stratum thickness map in a given target region boundary range through a Kriging difference method; analyzing the characteristics of different small-layer sand bodies under the guidance of the sedimentary mode to obtain a small-layer sand body thickness map; establishing a trend probability body model; and establishing a three-dimensional geologic model. According to the method, the three-dimensional geologic model is guaranteed to be completely loyalty to well point data, meanwhile, geologists can integrate underground reservoir cognition of different levels into the three-dimensional geologic model, and the established three-dimensional geologic model better conforms to the underground real situation. According to the three-dimensional geologic model established by the method, the geometrical morphology and the contact relation of the target geologic body are represented, and the accuracy of reservoir inter-well prediction is improved. The established three-dimensional geologic model provides favorable guarantee for more accurate reserve calculation and more sufficient well location deployment basis.

The present application relates to the technical field of petroleum geological exploration, and specifically discloses a method for exploring geological tight oil of a lower combination of Yanchang Formation in Ordos Basin, which screens effective formation water samples through double indexes, establishes a three-dimensional mineralization degree spatial distribution body and dynamically corrects water saturation, fuses oil saturation, seismic attributes and core mercury injection data to construct a multi-source feature matrix, applies differential correction to three types of low-resistance causes, namely, high bound water type, high mineralization type and micro-fracture conductive type, trains a sweet spot prediction model by using a random forest and XGBoost integrated learning framework, introduces a SHAP method to verify geological interpretability, generalizes the solidified model to the whole area to obtain a three-dimensional sweet spot probability body, introduces a source-reservoir pressure difference driving index to perform reservoir forming dynamics weighted correction, and grades favorable exploration target areas according to a probability threshold to output recommended well location coordinates, effectively solving problems such as low-resistance oil layer misjudgment, lack of interpretability in prediction, and lack of reservoir forming dynamic constraints in spatial evaluation.

The disclosure relates to a computer-implemented method for optimizing a layout of a subsea oil & gas field on a portion of the seabed, comprising providing input specifying locations unsuitable for well location and injection or production targets, determining optimal locations each of an injection well or of a production well by optimizing a well location and trajectory, determining optimal locations by performing an optimization that rewards every well is connected to exactly one drill center and the overall drilled length and number of drill centers is minimized, determining a location and orientation for the surface facility or processing facility based on metocean data, marine regulation constraints and the determined locations each of a drill center. The method also comprises determining a layout of flowlines by performing an optimization process including iterations of computing a solution to the optimization and defining mechanical constraints on the flowlines to find another solution.

The application discloses a three-dimensional seismic exploration prediction analysis method and system, and relates to the field of three-dimensional seismic exploration.The method comprises data preparation and preprocessing; construction of interpretation and establishment of a geological framework; well-seismic joint analysis and construction of a prior model; construction of a prior probability three-dimensional geological model through Markov chain simulation of lithofacies, Monte Carlo sampling to give elastic parameters, and generation of an adversarial network to expand pseudo-well samples; multi-source information fusion and probabilistic reservoir prediction; extraction of multi-evidence volumes and determination of weights; multi-target threshold decision and delineation of a favorable zone; high-precision target appearance and well site deployment.The method realizes logical judgment before appearance through prior probability modeling and multi-evidence weighted fusion, outputs a three-dimensional probability volume to quantify uncertainty, objectively delineates a favorable zone through multi-target decision, significantly improves reservoir prediction accuracy and micro-geological body recognition capability, and reduces exploration risk.

This application relates to petroleum geophysical exploration technology, disclosing a method, apparatus, electronic device, and storage medium for identifying fractured-vuggy reservoirs. The method for identifying fractured-vuggy reservoirs includes: acquiring seismic data of the fractured-vuggy reservoir to be identified and inversion data obtained based on the seismic data; matching the fractured-vuggy reservoir to be identified with a preset fractured-vuggy structure template based on the seismic data and the inversion data, wherein each fractured-vuggy structure template includes feature data obtained from seismic forward modeling of a fractured-vuggy structure and feature data obtained from post-stack impedance inversion based on the data obtained from seismic forward modeling; and predicting the fractured-vuggy filling structure of the fractured-vuggy reservoir to be identified based on the matched reservoir structure template. This method is at least beneficial for efficiently and quickly identifying the fractured-vuggy filling structure of fractured-vuggy reservoirs, thereby enabling better well location deployment and well trajectory design.

This invention provides a multi-scale characterization method and apparatus, a reservoir identification method and apparatus, a storage medium, a processor, and a computer program product, belonging to the field of oil and gas exploration technology. The multi-scale characterization method includes: extracting local images of fracture bodies, fracture zones, and fracture zones that make up the fracture bodies layer by layer from the profile images of geological outcrops within the target area; sequentially measuring the first-scale characterization of the fracture bodies from the extracted local images; the second-scale characterization of the fracture zones and fracture zones; and the characterization of the faults, cavities, fractures, and bedrock properties that constitute each fracture zone and fracture zone, serving as the third-scale characterization of each fracture body. This achieves three levels of characterization of the fracture bodies in the research target and surrounding area: outline, internal structure, and structural details. The characterization results are then used to guide reservoir fine description and prediction, reserve evaluation, and development well deployment, among other related work.

This invention relates to the field of geophysical exploration technology and proposes a lithology prediction method based on the constraints of geostatistical feature regularities. This method uses a large-scale exploration model to extract geostatistical feature regularities for lithology prediction, including: extracting seismic data; constructing virtual wells, simulating and generating virtual well data, and generating synthetic seismic records based on the seismic data; extracting geostatistical features to obtain their regularities; and constructing a multi-channel deep neural network model using seismic data and geostatistical features as inputs for lithology prediction. This invention expands the virtual wells using a Markov chain model and a sequential Gaussian simulation algorithm, and optimizes the model using K-Fold cross-validation, improving the generalization ability and stability of the seismic dataset. By combining seismic data with geostatistical features, multi-channel input, and a feature fusion layer, multi-source information is integrated. The accuracy is improved from 85.34% to 95.48%, providing a scientific basis for oil and gas reservoir identification and well location deployment.

This invention provides a method and system for identifying sandstone-type uranium enrichment zones, belonging to the field of mineral resource evaluation technology. The method includes: performing secondary interpretation on well logging data to obtain corresponding key parameters; establishing geochemical environment maps, calcareous sandstone identification maps, and metallogenic zone maps to form a standard model for orebody identification; determining the distribution of the top and bottom plates and metallogenic sections of the orebody in single-well profiles based on the standard model, obtaining the identification results for each single well; tracking the distribution of interlayer oxidation zones and planar metallogenic zones to generate a metallogenic enrichment zone range map of the target area; optimizing the well location deployment scheme based on the metallogenic enrichment zone range map of the target area, and outputting the metallogenic enrichment zone range map and the optimized well location deployment scheme. This invention provides an efficient and accurate method for uranium mineralization prediction and exploration, significantly improving the accuracy and efficiency of metallogenic zone identification, while optimizing well location design and reducing exploration costs.

This invention discloses a gas channeling early warning method for tight oil reservoirs, belonging to the field of intelligent early warning technology. The method includes acquiring static data, dynamic production data, and geological parameters of the target reservoir; identifying dominant channels and their distribution patterns in the horizontal and vertical directions based on the static data; calculating the gas channeling sensitivity index (GSI) based on the dynamic production data and geological parameters; and triggering a gas channeling early warning when the GSI exceeds a preset threshold. This invention establishes a comprehensive risk awareness foundation by integrating static geological, dynamic production, and engineering parameters. It innovatively adopts a two-level early warning logic combining "static fuzzy recognition evaluation" and "real-time early warning of the dynamic GSI index," achieving a seamless transition from potential risk screening to real-time anomaly capture. This enables precise location of high-risk layers at the fracturing cluster level, prediction of the probability of gas channeling in the next 7-15 days, and visual diagnosis of channeling directions, providing direct and quantitative decision-making basis for plugging agent selection and well location optimization.

This invention discloses a seismic prediction method and apparatus for shale reservoir double-sweet spots. The method includes: obtaining first data of a first parameter indicating geological conditions and second data of a second parameter indicating engineering conditions for the target stratum based on pre-stack and post-stack inversion of seismic data from the study area; obtaining double-sweet spot evaluation parameter data based on the weighting coefficients of the first and second parameters and the first and second data; and performing double-sweet spot prediction for the target stratum based on the double-sweet spot evaluation parameter data and a pre-determined double-sweet spot evaluation standard. This method effectively utilizes multi-parameter data from both pre-stack and post-stack layers to conduct seismic prediction and comprehensive evaluation of shale gas double-sweet spots, effectively improving the prediction accuracy of deep shale gas reservoirs, providing a basis for well location deployment in shale gas exploration and development, and thus significantly reducing the risks of unconventional reservoir drilling.

This invention provides a method for optimizing wellbore placement boundaries in horizontal well cold production development of offshore ordinary heavy oil reservoirs, relating to the technical field of wellbore placement boundaries in horizontal well cold production development. The method includes the following steps: S1: Conducting displacement experiments under different crude oil viscosities and permeabilities based on the reservoir properties and viscosity variation range of the target area; S2: Obtaining Bingham-type fluid characteristic parameters of ordinary heavy oil reservoirs from the displacement experiments; S3: Obtaining power-law-type fluid characteristic parameters of ordinary heavy oil reservoirs from the displacement experiments; S4: Establishing a productivity equation for horizontal wells in cold production development of heavy oil reservoirs, including Bingham fluid characteristics and power-law fluid characteristics; S5: Drawing an IPR chart for horizontal well cold production development of ordinary heavy oil reservoirs; S6: Querying the chart to obtain the wellbore thickness boundaries for horizontal well cold production development. This invention offers high prediction accuracy and strong targeting, providing a rapid, convenient, and objective basis for decision-making and well placement boundary optimization in the cold production development of horizontal wells in heavy oil reservoirs.

A composite double well fire flooding method for low permeability difference oil layer belongs to the technical field of artificial auxiliary viscosity reduction technology in tertiary oil recovery process. The composite double well low permeability reservoir development process is as follows: two wells are drilled at all well sites in the oil production core area, one is a composite oil production well, and the other is a fire flooding air injection well. All the drilled wells at the outer edge of the reservoir are single oil production wells. The fire flooding air injection well in the well pattern supplements the high production layer and is ignited by physical and chemical methods. Any oil production well in the well pattern cannot supplement the fire flooding layer. The present application has the following characteristics: the composite double well fire flooding technology absorbs the advantages of steam huff and puff development, steam flooding, fire flooding and other development methods, has low cost, good effect, reduces labor intensity and saves human resources.

A method and system for optimizing the design and fracturing scheme of shale gas horizontal wells, belonging to the field of oil and gas field development, includes: multi-source data collection and preprocessing; multi-source data fusion to generate a high-precision three-dimensional geological model; establishing reservoir attribute models and natural fracture models respectively, and predicting the activity of natural fractures; evaluation of geological engineering parameters, evaluation of vertical and horizontal sweet spots, and well location deployment; drilling / fracturing geological design; fracturing site tracking and post-fracturing production effect evaluation; using numerical simulation technology to predict the degree of shale gas horizontal well stimulation and gas well productivity, and continuously adjusting and optimizing the shale gas horizontal well design and fracturing optimization scheme based on the prediction results and feedback from actual production data. This invention has the advantages of high accuracy and reliability in reservoir evaluation, while reducing construction risks and improving development results; it also improves the productivity and economic benefits of shale gas horizontal wells.

This application relates to a construction process for dewatering wells, falling within the field of engineering construction. The process includes determining the well location, installing a drilling rig at the well location, drilling a hole at the well location using the drilling rig, cleaning the hole and replacing the slurry, lowering a sedimentation pipe into the hole, filling the space between the sedimentation pipe and the well wall with filter material, sealing the wellhead and the outer ring of the sedimentation pipe with clay balls, and cleaning the bottom of the well. This application provides more standardized control over the hole cleaning and slurry replacement process, thereby reducing engineering risks.

The application discloses a shallow-water movable drilling platform system, which comprises a floating body module, a support module and a drilling machine lower module. The floating body module is located at the lowermost part of the system, and is internally provided with a plurality of groups of ballast tanks and is provided with a U-shaped notch at the end. The support module is installed above the floating body module. The upper part of the support module is provided with the drilling machine lower module, a bulk material processing module and a drilling auxiliary module. The bulk material processing module is located between the drilling machine lower module and the drilling auxiliary module. The upper part of the drilling machine lower module is provided with a derrick system. The upper part of the drilling auxiliary module is sequentially provided with a living module and a helicopter deck. The system is moved by the whole towing mode, and does not need to disassemble and assemble the equipment. The derrick system can realize multi-well position operation without moving the platform through the up-down sliding device. The system is suitable for shallow water areas such as rivers and lakes, and has high operation efficiency and strong adaptability.