38results about How to "Improve exploration effect" patented technology

The invention discloses a modular underwater robot based on integrated vector propellers. The integrated vector propellers are distributed on the left and right sides of an underwater robot cabin, sothat multidimensional thrust can be generated to realize navigation attitude and depth measurement and own attitude control; tail fins and dorsal fins are respectively fixed on two sides of the tail and the back of the underwater robot cabin; a power module, a load module and a communication module are arranged in the underwater robot cabin; the power module is used for supplying power to the underwater robot; and the communication module is respectively connected with the load module and the integrated vector propellers and is used for transmitting acquired data of the load module and a ground upper computer and transmitting control signals of the integrated vector propellers and the ground upper computer. The modular underwater robot disclosed by the invention has excellent maneuverability, functionality and intelligence while ensuring the stability of the underwater robot, improves the exploration ability under complex sea conditions, and has wide application prospects.

The invention relates to the technical field of oil development oil reservoir engineering, in particular to a low gas-oil-ratio oil reservoir gas logging evaluation method. By adoption of the low gas-oil-ratio oil reservoir gas logging evaluation method, the problems that the interpretation coincidence rate is low, understanding of oil and gas reservoirs is not clear, and oil-water relation analysis is unknown during exploration and development are solved, and the exploration effect is improved. The low gas-oil-ratio oil reservoir gas logging evaluation method comprises the following steps that firstly, oil well data are obtained; secondly, parameter quality is controlled, specifically, a gas logging quality control curve template is established, gas logging data are input into the quality control curve template, and the gas logging data with the quality control ratio being within the range of 0.8-2.0 are selected to serve as analysis data meeting quality requirements; thirdly, parameters are selected, specifically, a relation between the gas logging data and an oil-water-gas layer is discovered through a grey correlation degree analysis method; and fourthly, the parameter research and oil reservoir gas logging evaluation method is established. A two-dimensional linear crossplot-gas logging interpretation chart is established, and different interpretation conclusion ranges are marked out.

The invention provides a design method of a six-spud-in wellbore structure, and belongs to the field of engineering boring of resources such as petroleum and natural gas. The design method includes the steps of (1), at the surface level, drilling a depth of 30-50 m by a drill bit with the diameter phi ranging from 604 mm to 614 mm, setting a casing with the diameter phi ranging from 503 mm to 513 mm after removing the drill bit, , and pouring cement paste for well cementation; (2), at the first spud in, drilling a depth of 300 m by a drill bit with the diameter phi ranging from 474 mm to 484 mm, setting a casing with the diameter ranging from 401 mm to 411 mm after removing the drill bit,, and pouring cement paste for well cementation; (3), at the second spud in, drilling a depth about 2000 m by a drill bit with the diameter phi ranging from 337 mm to 347 mm, setting a casing with the diameter phi ranging from 293 mm to 303 mm after removing the drill bit, and then pouring cement paste to realize well cementation.

Provided is a method for correcting the influence of a non-infinite power supply electrode in time-domain induced polarization three-pole sounding. As an infinite power supply electrode for time-domain induced polarization three-pole sounding adopts a non-infinite power supply electrode pattern due to terrain, signal intensity and other causes, there is a need to eliminate the influence of a non-infinite power supply electrode in apparent resistivity and apparent polarizability data of time-domain induced polarization three-pole sounding. Based on the situation, an infinite power supply electrode C is added to measure the influence parameters Rho(B) and Eta(B) of a non-infinite power supply electrode B on the apparent resistivity and apparent polarizability in time-domain induced polarization three-pole sounding data, and the apparent resistivity and apparent polarizability in measured time-domain induced polarization three-pole sounding data are corrected to get data reflecting the actual apparent resistivity and apparent polarizability of a measuring point. Therefore, the data accuracy and exploration effect of time-domain induced polarization three-pole sounding are improved, and the application range of time-domain induced polarization three-pole sounding in complex terrains is widened.

An asymmetric electrical method-based sounding method is disclosed. A series of equal interval power supply points that are symmetric about only one fixed point are designed, underground power supply can be realized via two power supply points symmetric about the fixed point through an electrical method exploration transmitter, the electrical method exploration transmitter is used for simultaneously receiving electric field signals of all measurement points on an exploration line, and apparent resistivity and induced polarization parameters of each measurement point are obtained when each pair of symmetric power supply points are used for power supply. Via the method disclosed in the invention, workloads of power supply point arrangement can be greatly reduced, a plurality of sounding points can be subjected to sounding operation via a multichannel electrical method instrument or a plurality of electrical method instruments, and exploration efficiency of a two dimensional or three dimensional electrical method can be improved. In a three dimensional asymmetric electrical method sounding mode, exploration efficiency and exploration effects can be improved due to adoption of the three dimensional electrical method sounding mode.

The invention discloses an extra-large basin hydropower station group optimal scheduling method based on a hybrid intelligent algorithm. Hydropower stations involved in calculation are selected and corresponding constraint conditions are set, an individual serial coding method is adopted to code individuals, and an initial population is generated; the fitness value of each individual is evaluated,an individual extremum is subjected to mutation operation after the individual extremum and a global extremum are updated, the positions of all individuals in the population are then updated, and a hybrid search strategy is then carried out on an individual in an external file set to improve the individual diversity; and finally, the above process is repeated until a terminating condition is met.The optimization performance is excellent, the robustness is strong, the convergence speed is fast, programming for realization is easy, and the problem of curse of dimensionality of the traditionalscheduling algorithm is avoided. Examples of Wujiang basin application show that the method of the invention can effectively improve the individual convergence speed and the population global search ability, a reasonable and effective hydropower station group scheduling operation mode can be acquired quickly, and the overall scheduling benefits of the extra-large basin hydropower station group scheduling are improved.

The invention relates to a Curvelet transform-based denoising method of seismic signals. According to the method, a wedge model of different wavelet lengths is established, only one lamina is in the wedge model, different wavelet resolution laminas and wedges are different in capacity, a seismic record of low time resolution is used as a matching channel, a seismic record of high time resolution is used as a reference channel, the seismic record, namely the matching channel, and the seismic record doped with white Gaussian noise are matched by means of Curvelet transform matching and filtering and are compared with the seismic record of high reference channel resolution. Actual comparison tests show that by processing the influences of the aspects by the FITSA algorithm, matching results are high in waveform uniformity, noise is well suppressed, and seismic data processing resolution and signal-to-noise ratio are evidently increased; the signal-to-noise ratio is increased, and processing efficiency of the seismic data is greatly improved.

The invention provides a two-dimensional electrical prospecting method based on joint profile. The method provided by the invention obtains electrical data such as resistivity and polarizability in two directions of all recording points of a certain measuring line based on the joint profile method in the electrical prospection, separately performs overall treatment such as the absolute value of anaverage value and a difference on the electrical data such as resistivity and polarizability with the same recording point and the same pole pitch in two directions, mainly selects the maximum valueof the absolute value of the difference of the relevant electrical parameters to determine the abnormal width of the abnormal body, and carries out comprehensive interpretation, so as to improve the exploration effect of the joint section method without increasing the workload in the field. The method can improve the electrical prospecting effect and precision of the joint section method and increase the recognition degree of the geological anomaly body.

The invention relates to an iterative learning control method based on a balanced single evolution cuckoo algorithm. a novel equilibrium single evolution evaluation strategy is given; each generationof evolution only randomly updates the single dimension of the target function; the dimensionality of random updating obeys integer uniform distribution; combining with other dimensions to form a newcandidate solution; evaluating the candidate solution, if the candidate solution is superior to the fitness value of the previous generation of function, keeping the updated candidate solution and continuing to evolve until an algorithm stop condition is met, and only receiving an update value capable of improving the current candidate solution by adopting a greedy rule, so that the targeted adjustment of a search direction in an optimization process is ensured, and the efficiency is not influenced. According to the method, the global search capability and the local optimization capability ofthe cuckoo algorithm can be effectively balanced, the hysteresis phenomenon appearing at the end of execution of the optimization algorithm is avoided, and therefore the global search speed and the convergence precision of the algorithm are improved.

The invention discloses a cultural genetic algorithm-based resident medium-and-long-term power consumption prediction method, which is specifically implemented according to the following steps of: step 1, selecting a data sample: counting a plurality of related data in a certain region within a certain period of time, and taking the data as an influence factor; step 2, data preprocessing: carryingout data cleaning on the data selected in the step 1; step 3, determining a resident medium and long-term electricity consumption prediction model: establishing a multivariate linear regression model-based medium and long-term load prediction model, and taking the data obtained in the step 2 as a training sample to obtain an influence coefficient of a data sample so as to obtain the medium and long-term resident electricity consumption prediction model; and step 4, parameter optimization based on a cultural genetic algorithm: optimizing the parameters in the medium-and-long-term residential electricity consumption prediction model obtained in the step 3 by using the cultural genetic algorithm, obtaining the optimized parameters through the cultural genetic algorithm, and constructing a residential medium-and-long-term electricity consumption prediction model for prediction.

The invention provides an induced polarization (IP) sweeping method with multiple power supply points realizing simultaneous power supply. According to the method, an electric transmitter is utilizedto simultaneously supply power at more than three power supply points at different positions, an electric receiver is utilized to obtain the potential information and the IP information of the measurement points at the different positions in the measurement area, resistivity data of the measurement points at the different positions are obtained through a normalization device coefficient and a resistivity calculation formula of the multiple power supply points realizing simultaneous power supply, and IP sweeping operation of the multiple power supply points realizing simultaneous power supply is achieved. The method is advantaged in that the method helps to expand the horizontal and vertical range of the horizontal electric field, improve signal intensity, expand the IP sweeping range, reduce isolation influence of a power source and increase the amount of geological information of the measuring points of a measuring electrode, and thereby improvement of the IP sweeping effect and sweeping efficiency is achieved.

The invention provides a frequency domain natural electric field annular three-dimensional exploration method for identifying the underground fluid flow direction. According to the method, one devicefor measuring a natural electric field is adopted to collect natural electric field frequency domain signals of a known geological point, another device for measuring the natural electric field is adopted at other measuring points to collect natural electric field frequency domain signals of multiple frequencies in multiple directions on the measuring points in an annular mode, the natural electric field frequency domain signals of the other measuring points and the known geological point with the same time and frequency are selected to be subjected to ratio conversion to obtain an annular three-dimensional exploration result, and thus the purposes of eliminating random changes and interferences of the natural electric field signals, improving the exploration effect and identifying the underground fluid flow direction are achieved.

The invention provides a method for correcting diurnal variation of a natural electric field. As for the method, natural electric field measuring equipment is adopted to collect natural electric fieldsignals of a known geological point at a certain time interval, according to the natural electric field acquisition time, frequency and other parameters, a formula is adopted to correct natural electric field data of other measuring points, wherein the formula is F<n>(f)=(U<n>(T<n>,f)-U<0>(T<n>,f)*L<0>/U<0>(T<n>,f)/L<n>, thus the random change and interference of the natural electric field signals are eliminated, the geological conditions of the measuring area is more truly reflected, the quality of the natural electric field data in the whole measuring area is improved, and the exploration effect is improved.

The invention discloses an active source electrical prospecting method based on passive source electric field signal measurement. According to the method, by observing the characteristics of a passivesource electric field signal in an exploration area, such as the frequency, the intensity, etc., the weak frequency of the passive source electric field signal is selected to send an active source signal, and a receiver receives an electric field signal transmitted by the active source signal through the underground, so that the electric field data with higher quality is obtained, and the electrical prospecting with a better exploration effect is realized. The method has the characteristics of high data quality, high signal-to-noise ratio, good exploration effect and the like, and can indirectly improve the exploration efficiency and reduce the exploration cost.

The invention belongs to the field of earth science and technology, and particularly relates to a three-dimensional modeling method of hyperspectral information of deep rock and mineral. The method specifically includes the following steps: step one, hyperspectral measurement of a drilling core; step two, standardization of spectral data; step three, parameter calculation of a spectral measurementfunction; step five, importing of a three-dimensional geological modeling environment; step six, establishment of a three-dimensional geological grid model; step seven, construction of a three-dimensional variogram model; step eight, Kriging three-dimensional spatial interpolation; and step nine, three-dimensional visualization. The method uses the advantage of fine and quantifiable rock and mineral information identification of hyperspectral technology of the drilling core, simulates a development degree of the deep rock and mineral in a semi-quantitative manner through the spectral measurement function, the three-dimensional variogram and the Kriging three-dimensional spatial interpolation on the basis of hyperspectral data which is of the drilling core and is obtained by a hyperspectral meter, and has the advantages of high modeling efficiency, fine model characterization, quantification and the like.

The invention discloses a deeply-buried steeply-inclined ore body exploration method, which mainly comprises the following steps of: determining a regional structure background of a large deeply-buried steeply-inclined ore body deposit and structure evolution of a region where the large deeply-buried steeply-inclined ore body deposit is located, and re-determining a magmatic rock type and an invasion sequence of the deposit of the type, the method comprises the following steps: determining ore-bearing rock masses and formation times of a large-scale deeply-buried steeply-inclined ore deposit, clarifying the properties of metallogenic magmatic rocks, magmatic origin and evolution and a restrictive relationship to formation of the deposit, performing staging exploration according to mining elevations, determining mine stoping sequence elevations according to a mine stoping sequence, performing exploration in each stoping elevation, and performing exploration net degree research, so as to achieve the purpose of exploring the ore-bearing rock masses of the large-scale deeply-buried steeply-inclined ore deposit and the formation time of the ore-bearing rock masses of the large-scale deeply-buried steeply-inclined ore deposit. And determining the exploration type of the engineering interval of new mining area exploration according to the result of the previous steps. According to the design and construction of the exploration and mining combined project, the mine construction process is accelerated.

The invention provides an amplitude orientation derivative-based reservoir fracture distribution characteristic determination method and system. The method comprises the following steps: obtaining the amplitude orientation derivative of a reservoir fracture target stratum event according to three-dimensional seismic data; according to the amplitude orientation derivative, constructing an inversion model and obtaining a quasi-anisotropy parameter, and converting the quasi-anisotropy parameter into a reservoir fracture parameter; and extracting the slice along the layer and the section of the reservoir fracture parameter to analyze the reservoir fracture distribution characteristic. The method can improve the prediction precision of the reservoir fracture distribution characteristic.