132 results about "System" patented technology

The present invention relates to a method and system for extracting and/or utilizing thermal energy from rock formations. This Abstract is provided to comply with rules requiring an Abstract that allows a searcher or other reader to quickly ascertain subject matter of the technical disclosure. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72(b).

A method for determining fabric and upscaled properties of a geological sample, such as a rock sample. A system for the method also is provided.

Systems and methods which determine geologic properties using acoustic analysis are shown. Acoustic signals are collected during processing (e.g., crushing, shearing, striking, compressing, etc.) of geologic media, such as rock samples, for determining geologic properties according to embodiments. The acoustic signals collected may include frequency information, amplitude information, time information, etc. which may be utilized in determining geologic properties, such as geologic media properties (e.g., mineralogy, porosity, permeability, sealing capacity, fracability, compressive strength, compressibility, Poisson's Ratio, Youngs Modulus, Bulk Modulus, Shear Modulus), geologic structure properties (e.g., lithology, seal quality, reservoir quality), geologic acoustic properties (e.g., acoustic logging effectiveness, acoustic response, natural or harmonic frequencies, etc.). Embodiments may be used to provide determination of geologic properties from a variety of geologic media samples, such as cuttings, core samples, etc.

A system configured to model geometric architectures of flow events in geological reservoirs. In one embodiment, the system comprises a geological control input, a rules module, and a modeling module. The geological control input is configured to receive a set of environmental conditions that act as geological controls impacting a geometric architecture of a geological reservoir at a point in geologic time. The rules module is configured to apply a set of rules to the set of environmental conditions present at the point in geologic time to determine geometric flow parameters of the geometric architecture, wherein the set of rules comprise one or more empirical rules. The modeling module is configured to model the geometric architecture based on the geometric flow parameters determined for the flow event by the rules module.

The invention discloses an ultra-under-excavation control energy-collecting hydraulic smooth blasting construction method for a slate tunnel. The method respectively adopts a slate rock stratum comprehensive geological prediction system, an ANSYS finite element blasting simulation analysis method, site construction III, IV and V slate rock surrounding rock blast hole optimization and an electronicdetonator millisecond blasting technology to solve the problems of insufficient contour smoothness, low blast hole retention rate, poor ultra-under-excavation control and large surrounding rock vibration influence of the slate tunnel after blasting. Good effects are obtained in the aspects of section forming and over-under-excavation control by adopting the method. The overbreak is controlled within 10%, the excavation efficiency is improved by about 15%, the explosive consumption is reduced by about 20%, the construction progress is accelerated by about 20%, and the blast hole residual rateis 70%-90%. The method is applicable to tunneling of slate rock surrounding rock tunnels of III, IV and V types of slate under the condition of karst geomorphology by adopting energy-collecting smoothblasting, and has a good reference effect on other loose flaky rocks or rocks with fully developed joints.

An ore content prediction system is provided. The system receives structured geological data that is derived based on spatial geological information that is associated with an input region. The received structured geological data includes a plurality of multidimensional tensors that are derived from spatial geological information of a plurality of sub-regions of the input region. The spatial geological information includes one or more types of data. The system trains a prediction model to produce a prediction output based on an average grade of an ore of a target mineral type at a target region by using the received structured geological data. The system identifies a relationship of the structured geological data to the prediction output and determines a revised input region based on the identified relationship,

The invention provides a rock physics constraint reservoir physical property parameter inversion method and system, and belongs to the technical field of reservoir prediction and evaluation in petroleum geophysical exploration. According to the method, elastic parameters are obtained through physical property parameter forward modeling by utilizing a rock physical model, a training sample set is constructed by utilizing the physical property parameters and the elastic parameters, a neural network is trained by utilizing the training sample set to obtain an optimized neural network, and then the optimized neural network is utilized to predict the physical property parameters. According to the method, the problem that only a single factor is considered when the porosity and the shale contentare predicted through a conventional empirical formula is solved, the porosity and the shale content are predicted at the same time in a completely nonlinear manner, the prediction precision is high,and the method and the system are suitable for the complex geological conditions.

The invention provides a TBM-mounted rock alteration characteristic recognition and geological prediction system and method. The system comprises a detection device, and the detection device is carried on the side face of an open type TBM supporting shoe through a telescopic mechanism; the detection device comprises a dryer and an alteration characteristic detection device, and the dryer is used for drying target surrounding rock, so that rock information collected by the alteration characteristic detection device is not interfered by moisture; the alteration characteristic detection equipmentis configured to collect images, mineral types and contents and element types and contents of the target surrounding rock; an alteration characteristic database in which the mark images, the characteristic minerals and the sensitive elements have a quantitative representation relationship with surrounding rock alteration characteristics is pre-stored in the data analysis platform; and the data analysis platform is configured to extract mark images, characteristic minerals and sensitive elements related to alteration characteristic changes, compare the mark images, the characteristic mineralsand the sensitive elements with the alteration characteristic database, predict alteration characteristics of surrounding rock in front of the tunnel face, and finally realize a geological predictionfunction of an alteration zone.

The invention belongs to the technical field of three-dimensional geologic modeling, and discloses a geologic structure three-dimensional modeling method and system based on a fault generation time sequence, and the method comprises the steps: calculating a bounding box of a fault surface model and a geologic model, and judging a geologic model data object; carrying out bounding box collision detection on the fault surface model and the geologic model, and determining the geologic model with intersected fault surfaces; taking one geologic model from the geologic models with the intersected fault planes to perform cutting operation with the fault planes, and calculating intersection points to obtain cutting intersection lines; subdividing triangles on two sides of a fault surface cutting intersection line, and determining a fault hanging wall boundary and a fault footwall boundary; reading fault attribute information, and moving the boundaries of the hanging wall and the footwall; judging whether new revealed data exists or not; dynamically optimizing the cut geological model; and judging whether a geologic model intersected with the fault surface exists in the geologic models intersected with the fault surface or not. According to the method, the three-dimensional model is dynamically optimized by fully utilizing the revealed data, so that the geological model is matched with the revealed data, and accurate modeling of tectonic geology is achieved.

There is provided herein a system and method for automatically determining the path within a target rock unit of a directionally drilled well (the target well) using log readings, e.g., gamma log readings, taken in the target well as compared with log readings (the typelog) taken in a well that penetrates the target rock unit (the offset well). Most specifically, in some embodiments the path of the target well within the target rock unit will be obtained by solving a minimum travel distance problem which uses distances that are based on differences between well log readings in the target and offset wells. Solution of this problem will yield a collection of stratigraphic blocks lengths and dips that define the path of the well in the subsurface through the target formation or rock unit.

The present invention belongs to the technical field of geological isotope detection, and discloses a method and a system for Hf isotope analysis of an Hf-rich mineral or rock. The method comprises: performing isotope fractionation correction calculation, wherein a isotope fractionation correction coefficient calculation principle follows the Rayleigh fractionation rule; using the average value of[beta](Yb) in the test process for interference correction; and calculating values of [epsilon]Hf(0), [epsilon]Hf(t), THf1, THf2 and fLu/Hf to explain the geological origin of the sample. According to the technical scheme of the present invention, the heavy work of manual calculation in the geological work is eliminated, and the technical scheme can provide a better service for the geological work.

The invention belongs to the technical field of testing mechanical properties of rocks, and discloses a system and a method for testing and controlling the mechanical properties of the rocks under a complicated condition. The system for testing and controlling the mechanical properties of the rocks under the complicated condition comprises a hardness detecting module, a tension detecting module, apressure detecting module, a temperature-humidity detecting module, a main control module, a density measuring module, a rock phase analysis module, a data storage module and a display module. According to the system for testing and controlling the mechanical properties of the rocks under the complicated condition, disclosed by the invention, a rock sample can be constructed into a cylinder of which the volume can be conveniently obtained through the density measuring module, the axial size and the radial size of the rock sample can be changed by respectively applying pressure to the top surface, the bottom surface and the side surface of the rock sample, and the heated and pressurized rock sample still is the cylinder, so that the volume of the heated and pressurized rock sample can be obtained, and measurement of rock density can be convenient; meanwhile, fine laminating of a big, very thick and single shale layer section can be rapidly solved through the rock phase analysis module.

The invention discloses a geological block objectification modeling analysis method. The method comprises the steps of S1, geological block objectification definition, S2, geological block automatic modeling and S3, geological block modeling analysis. The principle of the method is as follows: step S1, taking a geological block body as an aggregate formed by an individual or a plurality of geological sub-block bodies, and performing objectification definition; s2, dividing the rock mass into a plurality of geological sub-blocks by generalized extension of the geological structure surface, thenatural free surface and the manual excavation surface, and automatically generating a geological block model of the rock mass; and S3, directly extracting geometric and mechanical parameters of the geological structure surface from the model, carrying out stability analysis and calculation, and outputting an evaluation report, a chart and the like. According to the invention, the geological blockis regarded as an organic system; the composition, attribute and spatial relationship of the geological block are objectively expressed, the stability of the rock mass is judged, the safety coefficient of the rock mass is calculated, and a scientific basis is provided for advanced prediction of construction geology and adjustment of designed support parameters. The invention is mainly applied torock caverns, side slopes and foundation pit engineering in the field of geotechnical engineering.

A seismic interpretation method for identifying subsurface hydrocarbon bearing traps of Eocene/Paleocene age in valley fill depositional systems comprising as computer implemented modeling software and processed seismic data. The valley dispositional system is further defined by identifying field stratigraphy and erosional trapping mechanisms and confirming structural closure. The method further includes identifying structural aspects caused by sagging, rollover, and determining the presence of high amplitude events in the erosional trap.

The invention provides an advanced geological forecasting method and system based on perception while drilling, and relates to the technical field of advanced geological forecasting. The advanced geological forecasting method comprises the steps of: performing inversion based on drilling parameters to obtain tunnel surrounding rock physical and mechanical parameters; acquiring rock slag or rock powder based on a flushing fluid collected in the drilling process; acquiring geochemical characteristic parameters of rock slag or rock powder; and acquiring at least one of an unfavorable geological recognition result and a surrounding rock classification result by using a pre-trained deep learning model according to the obtained physical and mechanical parameters and geochemical characteristic parameters of the tunnel surrounding rock, so as to realize advanced geological forecast. According to the advanced geological forecasting method and system, advanced geological drilling is combined, geological features are comprehensively reflected from the two aspects of physical and mechanical property changes and geochemical characteristic parameter changes of tunnel surrounding rock, through collection and analysis of drilling parameters and flushing fluid in the advanced drilling process, big data and a deep learning algorithm are fused, and finally, advanced prediction of the geology in front of the tunnel face is realized.

The invention discloses a method for reconstructing an advanced support pressure evolution model of a deep stope based on DFOS strain. The method comprises the following steps: construction of a monitoring system, strain body data acquisition of advance support pressure, processing and analysis of massive strain data bodies, reconstruction of a stope advance support pressure evolution model, correction of the stope advance support pressure evolution model and the like. In the method for reconstructing an advanced support pressure evolution model of a deep stope based on DFOS strain, a BOTDR technology in a DFOS technology is adopted; a strain state of a rock stratum in a certain depth range of a stope bottom plate is dynamically captured in a coal seam stoping process; the two-dimensionalgeological model of advance support pressure distribution in the mining process is established, the method has the advantages of being high in applicability and convenient and fast to operate, and good safety guarantee can be provided for preventing roadway surrounding rock instability, rock burst, coal and gas outburst and the like.

The invention provides a carbonate rock pore component analysis method and system, and belongs to the field of rock physics. The method comprises the following steps: (1) collecting a rock core of carbonate rock, and measuring the rock core to obtain an experimental longitudinal wave speed and an experimental transverse wave speed; (2) establishing an equivalent medium model, and performing predicting by using the equivalent medium model to obtain a predicted longitudinal wave speed and a predicted transverse wave speed; and (3) carrying out inversion by using the predicted longitudinal wave velocity and the predicted transverse wave velocity as well as the experimental longitudinal wave velocity and the experimental transverse wave velocity to obtain the volume content of each pore type in the rock core. According to the method, the pore differentiation effect of the rock in the diagenetic process is fully considered, and the rock physical experiment data and understanding of the region are combined, so that the interpretation cost is greatly reduced; the method can be applied to interpretation of rock cores and logging data, can determine pore distribution characteristics of carbonate reservoirs, is beneficial for interpretation personnel to deduce geological evolution processes and guide seismic data inversion and interpretation, and provides powerful reference for high-quality reservoir evaluation.

A method is provided for evaluating a geological formation which integrates well data and high resolution computed tomography of rock samples thereof. Relationships are determined for a formation between a formation property, such as an elastic property, and at least one of photoelectric effect index (PEF), effective atomic number (Z_eff), and bulk density (RHOB), using well data, and tomographic imaging is used to determine at least one of the latter mentioned properties (PEF, Z_eff, RHOB) at higher resolution, which can be used in the relationship to determine a corresponding formation property. This affords an opportunity to develop formation property data for more challenging formations to evaluate, such as thinly laminated formations or others. Computerized systems, computer program products on non-transitory computer usable storage media, and programs for performing the methods are also provided.

The invention provides a data-driven rock physics modeling method and system, and the method comprises the steps of constructing a general expression of a rock physics model based on a rational neural network, and enabling the general expression of the rock physics model to be a general expression of rock physics in a rational function form; obtaining a logging data set, obtaining a rock physical model expression through training according to the logging data set, and the rock physical model expression is used for reflecting geological characteristics and lithology requirements of a corresponding region; and based on the rock physics generalized expression and the rock physics model expression, identifying and predicting the direct porosity and the pore fluid volume modulus of the profile data. According to the invention, rapid identification of reservoir parameters is realized through combination of logging and seismic sections, so that a rock physical model application system is faster and more convenient.