Extraction management optimisation with TLS and 3D modelling

The application of structural 3D modelling using TLS datasets improves the extraction management and allows operating companies to differentiate distinct parts of a mineral deposit to be extracted with respect to different products.

1 Introduction

Operating mining companies need to face today’s market challenges in both economic and ecologic ways. The cost-effective production combined with a sustainable extraction management in active and future mining can be supported by the combination of the methods presented in this article. Terrestrial Laserscanning (TLS) is based on the LiDAR method (Light Detection and Ranging) and is used (1) to display the morphology, (2) to get information about layer orientations, and (3) to discriminate rock types and hence, raw material classes. Then, 3D modelling is used to combine the data...

1 Introduction

Operating mining companies need to face today’s market challenges in both economic and ecologic ways. The cost-effective production combined with a sustainable extraction management in active and future mining can be supported by the combination of the methods presented in this article. Terrestrial Laserscanning (TLS) is based on the LiDAR method (Light Detection and Ranging) and is used (1) to display the morphology, (2) to get information about layer orientations, and (3) to discriminate rock types and hence, raw material classes. Then, 3D modelling is used to combine the data gained from field work and TLS. Finally, maps can be created with different data displaying the spatial distribution of raw material quality within the mining area. The great advantage of this approach is that it can be used in ­areas with a “simple” geology (stratiform deposits) as well as in complex geological settings such as fault zones, graben systems and tectonically deformed areas.

 

2 Case study: Carbonate deposit in a graben system

We use the example of a carbonate deposit in central Germany. The extracted rocks belong to the so-called “Unterer Muschelkalk” (Jena Formation), which is part of the Middle Triassic. Within the succession two main rock types (lithotypes) with different geochemical composition are considerable for mining. These are the so-called:

“Werksteinbänke” – bioclastic beds with high CaO content and

“Wellenkalke” – micritic limestones with medium to high CaO content.


The under- and overlying rock formations (“Röt” and “Mittlerer Muschelkalk”) are economically non-considerable because of their low CaO content. The deposit is located in a tectonic graben system characterized by structural elements such as normal faults, folds, and flexures. This makes extraction challenging with respect to the different raw material demands and requires detailed planning for ongoing mining regarding area restrictions and the amounts of excavation material, respectively.

 

3 Terrestrial Laserscanning (TLS)

In geosciences TLS is used as effective remote sensing technology for reconstruction, monitoring and observation of geological phenomena and related hazards. TLS is used e.g. for landslide monitoring [1,2], snow avalanches mapping [3,4], rock fall reconstruction and simulation [5,6], and also for observation of landslides in open pit mining [7].
It is based on the LiDAR principle, which is a contactless, non-destructive, and non-penetrative method using coherent light with very small beam divergences to detect the recording systems surroundings. The backscattered signal of the emitted laser beam is reflected at the surface. By the time-of-flight principle and the speed of light in a defined scan window a point cloud can be generated. For each measured point x-y-z coordinates (relative to the position of the recording system) and the range between the object and the system and the 8 bit backscattered signal (0‑255) are recorded. Hence, TLS provides spatial and visual-thematic information [8].
The advantages of TLS systems are the flexible handling, a high temporal and spatial resolution of the raw data sets due to a relatively short recording time, and data acquisition in difficult accessible areas. The recorded x-y-z coordinates allow the generation of high-resolution digital elevation models (HRDEMs). The additional information gained by the backscattered signal intensity depends on surface characteristics (e.g. colour, wetness, roughness). For rocks and their backscattered signal intensity, thus the specific characteristics depend on the mineralogy and petrography, which enables new opportunities for the use of TLS data. For example, displaying backscattered signal intensities enables an additional digital mapping of layer orientations. Within the mining sector, these types of data may help to conclude on raw material quality and to discriminate different raw material classes. In the present study, the Optech Ilris-3D device was used (Fig.1).

4 Characterization of the geology with TLS and

3D modelling

A field campaign including geological mapping and TLS was carried out in 2010 to (1) document the tectonic inventory of the deposit, (2) to measure layer orientations, and (3) to collect TLS data of the quarries morphology. The morphological setting was captured from seven scan positions with 21 different scan windows. The scanning ranges among the outcrop and the TLS system are between 50 and 400 m. The raw data set of the alignment scan sequences includes approx. 43 million points and covered an area of around 35 000 m² within the quarry. All 21 scan windows were merged and geo-referenced. The gained HRDEM of the quarry was transferred to the 3D modelling software GOCAD® and used as one type of input data for the 3D structural model. The additional displayed backscattered signal intensities are used to show differences between the main lithotypes. The CaO rich “Werksteinbänke” have higher values in backscattered signal intensities than the “Wellenkalke” with less CaO content (Fig. 2). The extraction face has e.g. colour changes due to weathering that do not give a clear insight into the lithology. Hence, it is almost impossible to discriminate layers and raw material classes. The TLS scan window of the same area with displayed ranges in backscattered signals (blue = low, grey = medium, red = high) shows rock specific reflection properties. The resulting values in backscattered signals enable a discrimination of distinct layers and serve to interpret the information gained from the TLS point cloud. Within this dataset an additional digital mapping was carried out to gain structural information (layer boundaries and orientations) in inaccessible areas, to control the precise location of data collected during field work (e.g., orientation of layers and joints), and finally to conclude on raw material classes.

The x-y-z-coordinates of the TLS point cloud (Fig. 3a) were the base for modelling the quarry’s surface plane within the mining claim boundary (Fig. 3b). Together with the measured layer orientations, which are integrated as well objects in GOCAD®, and well data from former prospection drillings the stratigraphic unit planes of the deposit were modelled (Fig 3 c, d, e). Finally, the 3D model of the recent mining state was built by the intersection of the HRDEM with the stratigraphic unit planes (Fig. 3f).


5 From 3D to 2D

The 3D structural model serves as a database for the creation of different map types.

Each stratigraphic layer represents a homogeneous geobody and is modelled as 3D grid object, called SGrid in GOCAD®. This allows the combination of structural information and rock specific parameters and can be used to display three dimensional patterns of the integrated parameters. In the present study, the geochemical parameter “CaO content” was implemented into the SGrids. Since the product range of a lime works is not based on accurate CaO contents in percent, a relative scale for the different CaO contents of three classes is used. The “Werksteinbänke” represent the layers with the highest CaO content and thus, are grouped in class 1. The “Wellenkalke” represent class 2, and the economical non considerable overlying “Mittlerer Muschelkalk” and underlying “Röt” represent class 3. 2D maps are created out of the model (Fig. 4), showing either CaO content classes for each extraction level (geochemical maps) or structural data of the different stratigraphic layers (structure maps). Each map provides three types of information: the x-y-coordinates and either the CaO content class or the altitude (z-values). The geochemical maps were created in GOCAD® by intersecting the SGrids with the altitudes of the specific extraction level. The maps show the spatial distribution of the three CaO content classes for each extraction level. Active extraction areas can be displayed as well as different scenarios with possible new extraction levels may be created. The structure maps are created out of the top of each stratigraphic layer.

 

6 Conclusions

The application of structural 3D modelling using TLS ­datasets to the mining sector is a promising method, since TLS was recently almost solely used to monitor and survey ongoing extraction and volume determination without using the additional information on signal intensities. Especially this information may support extraction planning and management, since it refers to material properties (mineralogy, petrography) and thus enables the discrimination of different raw material classes.

The present study shows how the additional information gained from the backscattered signal intensities during TLS recording can be used within the mining sector (1) to gain more structural and spatial information as input data for 3D modelling, (2) to evaluate structural data from field work, and (3) to conclude on the raw material quality. The interpretation of structures is directly carried out during the 3D modelling process and serves to specify layer orientations in the 3D structural model by using layer specific backscattered intensities. It also allows the digital mapping of inaccessible areas, which minimizes potential risks during field campaigns, e.g. for further explorations and prospections, respectively. The intensities allow an additional discrimination of the raw material quality due to different lithotypes. For most third party users 2D maps are essential for their work. Here, the 3D structural model enables a flexible creation of maps with detailed information on geometry and geochemical properties. These maps allow operating companies to differentiate distinct parts of a mineral deposit to be extracted with respect to different products (e.g., cement, mortar, plaster; see Fig. 5). Hence, the application of our approach enables minimization of the amount of excavated material and supports the extraction management planning in both ongoing mining and future extraction. Lithologic and geochemical data from field work and laboratory analyses (left columns) show a cyclic stacking pattern of the “Unterer Muschelkalk” succession. The “Werksteinbänke” are subdivided in Oolithbänke, Terebratelbänke and Schaumkalkbänke. This information may be visualized in 2D maps and 3D models to define economically exploitation with respect to different products (right column). Third party users obtain a structured overview of the CaO pattern in the stratigraphic succession and additional information on the favoured products for each unit.

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