36 results about "Property modeling" patented technology

A multipoint geostatistics computer-implemented method for modeling of discrete properties, comprising acquiring by a computer software program a training image made from at least one dimensional array of discrete property values, the values depicting the spatial relationship and variability considered to be typical of a n-dimensional surface to be modeled; constructing a search tree, the tree representing the probability of occurrence of combinations of values of a discrete property value, the construction being performed by counting these occurrences in the training image. The non-branching sequences of the search tree are compressed to what essentially amounts to a single node, by keeping only the relevant information the sequences contain.

Systems and methods for updating a property map during conditional simulation or unconditional simulation using interactive azimuth guidelines, well data and / or variogram parameters.

The invention discloses a modeling method for quality classification representation of multiple sandstone gas reservoir gas layers, and relates to a six-stage modeling method. A new method of two-layer construction modeling, two-level secondary-phase modeling and four-type reservoir property modeling is proposed according to multi-layer-steamed-bread-shaped multi-layer sandstone gas reservoir planar sedimentary stability and a multi-layer structure formed by a vertical sand mud interbed, a six-stage modeling method system including stratum construction modeling-sand body structure modeling-sand body microfacies modeling-storage-collection phase modeling-reservoir property modeling-gas layer quality classification modeling is built, and accurate quantitative representation of the multi-layer-steamed-bread-shaped multi-layer sandstone gas reservoir gas layer quality in three-dimensional space is achieved. Compared with a gas reservoir model built with a traditional three-stage modeling method, the multi-layer sandstone gas reservoir gas layer quality classification model obtained with the six-stage modeling method is more accurate and exquisite, and is widely applicable to meeting the urgent requirement for gas reservoir classification balance development in the middle and later periods of multi-layer sandstone gas reservoir development.

A system of entity-attribute framework for information system modeling and data access, belonging to the field of information technology, including entity attribute modeling module, storage management module, process information management module, materialized view management module, extended query engine module, User UI module, see Figure 1. Among them, the entity attribute modeling module is responsible for the modeling function of the system. The advantage is that it can quickly model business objects and feed back to data storage, which improves the efficiency of system modeling, and data can be expanded in parallel with the increase of data volume, and users do not need to care about the structure and method of data storage , thereby reducing the complexity of the system; in terms of data access, it provides a method to expand the definition of column marks in SQL, and users can flexibly filter and sort data through the definition of column marks, which improves the flexibility of the system.

The invention relates to a skeletal muscle mechanical behavior multiscale modeling method and aims at solving the problem in the prior art that a complete process from cell electrophysiologic action potential activation to skeletal muscle mechanical output cannot be simulated. The method comprises the steps of S1, determining positions and attitudes of muscle fibers; S2, establishing a skeletal muscle macroscopic geometric model and a skeletal muscle microcosmic geometric model according to the S1; S3, carrying out grid division on the geometric models established in the S2; S4, carrying out skeletal muscle electrophysiologic property modeling according to the S3; S5, carrying out multiscale calculation between cells and muscle tissues according to the S3 and S4; S6, establishing a skeletal muscle multiscale biomechanics model according to the S5; and S7, predicting muscular force according to the S6. The method is applied to the field of biomedical engineering.

The invention discloses a method for modeling and simulating complex target electromagnetic characteristics based on big data, which includes the following steps: step 1, using the method of mechanism analysis and principal component analysis successively to determine the dimension of complex target electromagnetic characteristic data; step 2, according to step In the first step, the results of principal component analysis are used to represent the big data knowledge of complex target electromagnetic characteristics; Step 3 is to perform real-time retrieval of big data according to the user's input conditions and rule knowledge; Step 4 is to judge whether the data retrieval is successful, and if it is successful, output the data. Complete modeling and simulation; if unsuccessful, further improve complex target electromagnetic characteristic data or knowledge representation; the invention solves the problem that it is difficult to carry out complex target electromagnetic characteristic modeling and simulation based on similar principles.

The invention relates to an embedded software credible property modeling and verification method. The method comprises the six steps of software subprogram construction, credibility calculation function establishment, credibility preliminary association, access credibility evaluation subprogram construction, simulated running and credibility dynamic assessment and correction. The method is simpleand easy to operate and implement, and meanwhile comprehensive detection and correction are performed on the stability and reliability of program running from multiple aspects such as data operation,modeling, simulation, monitoring and dynamic feedback and correction. Therefore, on the one hand, the structure of a main program is effectively simplified, the running speed and data processing capability of the main program are improved, and the extension capability of the main program is effectively improved; and on the other hand, the reliability and flexibility of data interaction between themain program and each subprogram and data interaction among all the subprograms are effectively improved, so that the stability and reliability of program system overall running are effectively improved, and program overall system compatibility and extensibility are effectively improved.