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Brine storage layer prediction and resource quantity evaluation method for underground brine type potassium ore and lithium ore

A technology of underground brine and prediction method, which is applied in the directions of measurement, earthwork drilling, seismic signal processing, etc., can solve the problems of insufficient number of drilling wells, no logging response characteristics, and the number of groundwater samples detected cannot meet the calculation of resource volume, etc., to achieve effective The effect of implementation

Active Publication Date: 2021-06-01
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

However, due to the insufficient number of drilling wells, it is not possible to effectively conduct underground sampling or drilling in the area; or the number of drilling wells is sufficient, but lithium ion is a trace element that can only be detected with special equipment
In both cases, the number of detected groundwater samples cannot meet the needs of resource calculation.
[0005] (2) The resource calculation of underground liquid mineral deposits usually uses geophysical data to calculate underground reservoir thickness, porosity, water saturation and other parameters. However, the formation containing lithium-rich brine has no logging response characteristics that are different from other formations , it is impossible to calculate various parameters required for underground brine-type lithium mines

Method used

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  • Brine storage layer prediction and resource quantity evaluation method for underground brine type potassium ore and lithium ore
  • Brine storage layer prediction and resource quantity evaluation method for underground brine type potassium ore and lithium ore
  • Brine storage layer prediction and resource quantity evaluation method for underground brine type potassium ore and lithium ore

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example 1

[0056] Taking the first member of Leikoupo Formation in the Moxi area of ​​Central Sichuan as an example, according to the 1 The multi-well intersection analysis diagram of the sub-member shows that the impedance value of gypsum rock is relatively high, which is easy to distinguish from other lithologies. Compared with pure dolomite and limestone, the argillaceous lithology is characterized by high gamma (gamma is mostly greater than 30API), Dolomite and limestone are superimposed in terms of impedance and gamma, and it is difficult to distinguish them. The water content of the brine reservoir section is relatively high, and the potassium-rich brine is rich in a large number of ions, and the formation shows low resistivity. The resistivity of the sample points with a porosity ≥ 2% is mostly less than 500Ω.m, and the resistivity of the brine reservoir is even higher. Low, generally less than 200Ω.m. This shows that the brine reservoirs have the petrophysical characteristics of...

example 2

[0076] Taking the first member of Leikoupo Formation in the Moxi area of ​​central Sichuan as an example, Figure 5 A graph showing the positive correlation function of potassium and lithium content.

[0077] Firstly, according to the prediction method of the brine storage layer of underground brine-type potassium ore and lithium ore, the plane distribution of the brine storage layer is predicted, and the specific steps are as follows:

[0078] (1) Based on the logging data, establish the nonlinear relationship among wave impedance, natural gamma ray, porosity and resistivity.

[0079] (2) Based on the wave impedance of seismic inversion, the neural network is used to obtain the nonlinear mapping from wave impedance to natural gamma ray, porosity and resistivity respectively, so as to obtain the wave impedance, natural gamma ray, porosity and Physical property inversion of resistivity.

[0080] (3) Use the three-dimensional multi-attribute fusion technology to characterize t...

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Abstract

The invention provides a brine storage layer prediction and resource quantity evaluation method for underground brine type potassium ore and lithium ore. The brine storage layer prediction method comprises the steps of establishing a nonlinear relationship among wave impedance, gamma, porosity and resistivity, obtaining a physical property inversion body of each parameter of a stratum based on the wave impedance of seismic inversion, predicting the distribution of a brine storage stratum with the characteristics of low gamma, high porosity, low impedance and low resistivity, and drawing a parameter map of the brine storage layer. The resource quantity evaluation method comprises the steps of predicting the spatial distribution characteristics of underground brine by adopting the method, detecting the potassium ion content of an underground brine sample, and estimating the lithium ion content in the corresponding brine sample by utilizing a positive correlation relationship between the potassium content and the lithium content, thereby calculating various parameters required for resource quantity evaluation of the underground brine type lithium ore. According to the method, the spatial distribution of the brine layer can be accurately predicted, and the effective implementation of the resource quantity of the underground brine type potassium ore and lithium ore is realized.

Description

technical field [0001] The invention relates to the technical field of calculation methods for liquid mineral resources, in particular to a method for predicting brine storage layers and evaluating resources of underground brine type potassium ore and lithium ore. Background technique [0002] Lithium exists in nature in two forms: solid resources in spodumene and lepidolite and liquid resources in brine. Lithium deposits have been discovered in at least 20 countries around the world, including Chile, Bolivia, China, Australia, the United States, Brazil, Portugal, Argentina, Russia, Zimbabwe, Democratic Republic of the Congo, Serbia, Spain, Austria, Israel, Ireland, France, India, South Africa , Finland, Sweden, Mozambique, etc. China is rich in lithium resources, with many deposits and a large scale. It is one of the advantageous minerals in our country. The spatial distribution of lithium deposits tends to be regionally concentrated, and the reserves are obviously concen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B49/00E21B47/00G01V1/40G01V1/28
CPCE21B49/00E21B47/00G01V1/40G01V1/28
Inventor 陈小二张兵杨凯裴文彬林晓杨张赛明王昌勇邢凤存郑荣才
Owner CHENGDU UNIVERSITY OF TECHNOLOGY