Abstract: The present invention discloses an evaluation method for acid fracturing effect based on the theory of acid-frac “stimulated zone”, comprising the following steps: establish a structured reservoir grid, and add initial artificial fractures to the structured reservoir grid; establish a fracture propagation model considering the acid-frac stimulated zone, on the basis of the structured reservoir grid, conduct numerical simulation according to the fracture propagation model, and work out the seepage parameters during acid fracturing; establish a gas well production model, and calculate the pore distribution and liquid saturation distribution of the reservoir in gas well production; calculate the cumulative production of the gas well, and calculate the multiple proportion of cumulative production increase of the construction plan according to the cumulative production of the gas well; the greater the multiple proportion, the better the acid fracturing effect.

Abstract: A method for determining sand pumping parameters based on width distribution of fracture, including: acquire basic parameters of a target reservoir, simulate a propagation of the fracture, and obtain a propagation pattern and width distribution of the fracture; determine a maximum proppant particle size for entering the fracture at all width levels according to statistical results of the width distribution of the fracture; determine a multi-size combination of proppants according to a mapping table for particle size vs mesh of proppants, and determine an initial ratio of the proppant with each particle size; conduct a numerical simulation of proppant transportation in the fracture to determine a retention ratio of the proppants with each particle size; correct the initial ratio of the proppants with each particle size; calculate an amount of the proppants with each particle size according to the final ratio and the sand pumping intensity and fracturing interval length.

Abstract: A method for determining sand pumping parameters based on width distribution of fracture, including: acquire basic parameters of a target reservoir, simulate a propagation of the fracture, and obtain a propagation pattern and width distribution of the fracture; determine a maximum proppant particle size for entering the fracture at all width levels according to statistical results of the width distribution of the fracture; determine a multi-size combination of proppants according to a mapping table for particle size vs mesh of proppants, and determine an initial ratio of the proppant with each particle size; conduct a numerical simulation of proppant transportation in the fracture to determine a retention ratio of the proppants with each particle size; correct the initial ratio of the proppants with each particle size; calculate an amount of the proppants with each particle size according to the final ratio and the sand pumping intensity and fracturing interval length.

Abstract: Related to is the field of nucleic acid testing, and in particular, a test kit or a method for testing a target nucleic acid in a sample. The test kit comprises therein a hybridization solution, which contains therein a non-ionic surfactant, a cationic polymer, and a buffer solution having a pH value in the range from 6.5 to 8.5. The test kit can further comprise therein a Tris-HCl color developing solution having a pH value in the range from 9.0 to 10.0 and containing a C8-C18 alkylglucoside. Testing target nucleic acid in a sample using the test kit has the advantages of short time consumption, easy operation, high throughput, and low costs.

Abstract: Disclosed is a multi-dimensional decomposition computing method and system, related to the field of multi-dimensional decomposition computing technique, applicable to performing multi-dimensional decomposition on big data to reduce computation complexity. The method executes: generating an recursion topology based on pre-processed big data; the recursion topology comprising dimension combination and recursion path among the dimension combinations; based on default fixed strategy, defining a fixed dimension combination and defining a computation path forming an optimized fixed dimension combination; based on the recursion topology, generating computation tasks; and based on the fixed dimensional combination and the computation path of the optimized fixed dimension combination, activating the computation tasks, computing the computation tasks and obtaining computing results. The disclosed solution is applicable to multi-dimensional decomposition.

Abstract: A multidimensional data process method and device thereof are disclosed in the present embodiments. The method comprises: obtaining attribute information in dimension information and hierarchical relationship information of respective attributes in a data service, and generating a recursive topology; and the recursive topology comprises an attribute composition set and recursive paths of respective attribute compositions in the attribute composition set; confirming attribute compositions for querying in the attribute composition set; confirming attribute compositions for fixing in the attribute composition set according to the attribute compositions for querying; fixing the attribute compositions for fixing to form fixed attribute compositions and obtaining index data in accordance with the fixed attribute compositions; recursing index data in accordance with the attribute compositions for querying. The present invention is applied to the multidimensional data analysis.

Abstract: Related to is the field of nucleic acid testing, and in particular, a test kit or a method for testing a target nucleic acid in a sample. The test kit comprises therein a hybridization solution, which contains therein a non-ionic surfactant, a cationic polymer, and a buffer solution having a pH value in the range from 6.5 to 8.5. The test kit can further comprise therein a Tris-HCl color developing solution having a pH value in the range from 9.0 to 10.0 and containing a C8-C18 alkylglucoside. Testing target nucleic acid in a sample using the test kit has the advantages of short time consumption, easy operation, high throughput, and low costs.

Abstract: Disclosed is a multi-dimensional decomposition computing method and system, related to the field of multi-dimensional decomposition computing technique, applicable to performing multi-dimensional decomposition on big data to reduce computation complexity. The method executes: generating an recursion topology based on pre-processed big data; the recursion topology comprising dimension combination and recursion path among the dimension combinations; based on default fixed strategy, defining a fixed dimension combination and defining a computation path forming an optimized fixed dimension combination; based on the recursion topology, generating computation tasks; and based on the fixed dimensional combination and the computation path of the optimized fixed dimension combination, activating the computation tasks, computing the computation tasks and obtaining computing results. The disclosed solution is applicable to multi-dimensional decomposition.

Abstract: A multidimensional data process method and device thereof are disclosed in the present embodiments. The method comprises: obtaining attribute information in dimension information and hierarchical relationship information of respective attributes in a data service, and generating a recursive topology; and the recursive topology comprises an attribute composition set and recursive paths of respective attribute compositions in the attribute composition set; confirming attribute compositions for querying in the attribute composition set; confirming attribute compositions for fixing in the attribute composition set according to the attribute compositions for querying; fixing the attribute compositions for fixing to form fixed attribute compositions and obtaining index data in accordance with the fixed attribute compositions; recursing index data in accordance with the attribute compositions for querying. The present invention is applied to the multidimensional data analysis.

Abstract: The present invention relates to nanocomposite materials based on a copolymer of at least two monomers selected from the group consisting of butadiene, isoprene and styrene and a clay mineral dispersed therein, and a process for preparing them. By using an organolithium as the initiator, an organic hydrocarbon solvent as the solvent and a polar additive as the microstructure modifier by means of a classical anionic solution polymerization process, at least two monomers selected from the group consisting of butadiene, isoprene and styrene are in-situ intercalation polymerized in the presence of an organoclay, thereby obtaining a delaminated nanocomposite material which is excellent in mechanical properties, heat resistance, barrier property, chemical resistance and is well balanced in its comprehensive properties.