Predicting mining-induced dynamic deformations for drilling solution rock salt mine based on probability integral method and weibull temporal function

Xing, Xuemin; Zhu, Yikai; Yuan, Zhihui; Xiao, Liang; Liu, Xiangbin; Chen, Lifu; Xia, Qing; Liu, Bin

doi:10.1080/01431161.2020.1813345

Cited by 17 publications

(12 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To compensate for the unavailability of simultaneous periods of leveling measurements, SBAS-derived results were used to be compared with the predicted subsidence. The traditional static PIM prediction method introduced in References [20,38], which inversed the PIM parameters based on a single interferometric pair, was carried out preliminarily to be compared with the CT-PIM predicted results. Four periods of predicted subsidence (spanning from 15 June 2015 to 26 February 2017, 5 April 2017, 28 June 2017, and 15 August 2017, respectively) were extracted, which is shown as Figure 15.…”

Section: Accuracy Evaluation For Ct-pim Predicted Subsidencementioning

confidence: 99%

“…However, the single MT-InSAR has a limitation in that it can only obtain the deformation sequences during SAR acquisition dates; the subsequent future displacement beyond the span of the SAR observations cannot be acquired. To compensate for the limitation, researchers have incorporated InSAR deformation observations into the Probability Integral Method (PIM), which has successfully solved the problems, such as surface deformation space calculation and overlying strata movement prediction [14][15][16][17][18][19][20][21][22]. The basic idea for those studies is firstly using the traditional MT-InSAR technique to generate the line-of-sight (LOS) deformation results as input dataset to estimate the PIM parameters; then, the corresponding subsidence sequences for the future period can be predicted based on the PIM prediction model.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

InSAR Modeling and Deformation Prediction for Salt Solution Mining Using a Novel CT-PIM Function

et al. 2022

Self Cite

View full text Add to dashboard Cite

Deformation prediction for a salt solution mining area is essential to mining environmental protection. The combination of Synthetic Aperture Radar Interferometry (InSAR) technique with Probability Integral Method (PIM) has proven to be powerful in predicting mining-induced subsidence. However, traditional mathematical empirical models (such as linear model or linear model combined with periodical function) are mostly used in InSAR approaches, ignoring the underground mining mechanisms, which may limit the accuracy of the retrieved deformations. Inaccurate InSAR deformations will transmit an unavoidable error to the estimated PIM parameters and the forward predicted subsidence, which may induce more significant errors. Besides, theoretical contradictory and non-consistency between InSAR deformation model and future prediction model is another limitation. This paper introduces the Coordinate-Time (CT) function into InSAR deformation modeling. A novel time-series InSAR model (namely, CT-PIM) is proposed as a substitute for traditional InSAR mathematical empirical models and directly applied for future dynamic prediction. The unknown CT-PIM parameters can be estimated directly via InSAR phase observations, which can avoid the error propagation from the InSAR-generated deformations. The new approach has been tested by both simulated and real data experiments over a salt mine in China. The root mean square error (RMSE) is determined as ±10.9 mm, with an improvement of 37.2% compared to traditional static PIM prediction method. The new approach provides a more robust tool for the forecasting of mining-induced hazards in salt solution mining areas, as well as a reference for ensuring the environment protection and safety management.

show abstract

Section: Accuracy Evaluation For Ct-pim Predicted Subsidencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

InSAR Modeling and Deformation Prediction for Salt Solution Mining Using a Novel CT-PIM Function

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…With the rapid development of the subject of arti cial intelligence, many scholars have cited arti cial intelligence technology in the prediction and evaluation of MLS (Mohammady et al, 2021;Yan et al, 2021b).Research methods based on numerical simulation are also widely used in the evaluation and analysis of MLS (Liu et al, 2021;Sikora and Wesolowski, 2021). At present, the probability integral method is the most widely used subsidence prediction method in China (Xing et al, 2021;Yuan et al, 2020). The MLS is affected by mining conditions and geological conditions, and it is affected by a large amount of randomness and ambiguity (Li et al, 2021).It can be seen from the above-mentioned literature analysis that MLS is seriously harmful to the environment.…”

Section: Introductionmentioning

confidence: 99%

Assessment on coal mining land subsidence by using an innovative comprehensive weighted cloud model combination PSR conceptual model

Zhou

Xiong

et al. 2022

Preprint

View full text Add to dashboard Cite

The research on land subsidence (LS) is a global topic. In recent years, the environmental problems caused by coal mining have received great attention. In particular, mining land subsidence (MLS) caused damage to villages, buildings, farmland, etc, which seriously threatened the living environment and ecological environment of the mining area. To reasonably evaluate mining land subsidence (MLS) of coal mine, based on characteristics of strata movement in coal mining, this study put forward PSR (Pressure-State-Response) concept model based on MLS to build an evaluation index system of MLS in coal mine. Based on this index system, in view of the uncertainty in the evaluation process, the cloud model is used to represent the index weight and comprehensive evaluation calculations, which fully consider the randomness and ambiguity in the evaluation process. MLS of several important mining areas in China were evaluated and were classified as three grades (Slight-Medium-Strong). The cloud model assessment results are compared with the result of the probability integration method and the actual situation. The assessment results of the cloud model are closer to the actual situation than the probability integration method. It shows that the established MLS evaluation method based on cloud model in this study is reasonable and feasible. The Mining width and height ratio, depth and height ratio and coal seam dip angle are important factors affecting MLS. Therefore, improving the mining method to deal with the goaf reasonably, optimizing the mining design to control the influence range of mining are important measures to reduce the MLS and protect the ecological environment of mining areas.

show abstract

“…Salt is not only an indispensable necessity for human life, but also one of the main raw materials for the basic chemical industry. As a special mining method, solution mining has been widely used in salt mines to effectively extract subsurface salt reservoirs, where fresh water is injected into the salt layer through wells (Berest et al, 2008;Schléder et al, 2008;Liu et al, 2019;Xing et al, 2021). However, when solution mining continues, it can create cavities beneath injection wells and between injection and extraction wells.…”

Section: Introductionmentioning

confidence: 99%

First observation of paired microseismic signals during solution salt mining

et al. 2022

View full text Add to dashboard Cite

To monitor the status of cavern roof instability induced by solution salt mining, we deployed a surface microseismic monitoring system for Dongxing salt mine, Dingyuan county, China. The microseismic monitoring system consists of 11 three-component geophones installed in shallow holes of 5 m deep. From 7-month continuous monitoring data, we have detected a novel type of signal that consists of two events. The first event has a long duration (>15 s) and generally has higher frequencies at the beginning. The 2nd event has a shorter duration of ∼3 s with lower frequencies. The two events are separated by ∼30–90 s in time. From May 2017 to November 2017, there are a total of 88 distinct paired signals with two events in sequence. We propose the first event corresponds to a series of fracturing processes on the cavern roof, and microseismic signals associated with different fractures are mixed and overlapped to produce a mixed signal with a longer duration. Due to a series of fracturing processes, some zones of cavern roof become instable and some rock debris may fall from the roof and collide on the cavern floor. This collision can produce a short duration signal, which corresponds to the 2nd event of the paired signal. The further analysis of polarities of the first arrivals for the 2nd event further proves its collision origin. The time interval between two events is related to the time for the falling rock debris through the brine, which is controlled by the cavern height and various physical properties of the rock debris and brine. Through the detailed analysis of paired signals, we can have a better understanding of the cavity development status for solution salt mining.

show abstract

Predicting mining-induced dynamic deformations for drilling solution rock salt mine based on probability integral method and weibull temporal function

Cited by 17 publications

References 20 publications

InSAR Modeling and Deformation Prediction for Salt Solution Mining Using a Novel CT-PIM Function

InSAR Modeling and Deformation Prediction for Salt Solution Mining Using a Novel CT-PIM Function

Assessment on coal mining land subsidence by using an innovative comprehensive weighted cloud model combination PSR conceptual model

First observation of paired microseismic signals during solution salt mining

Contact Info

Product

Resources

About