scholarly journals Practices in Constructing High Rockfill Dams on Thick Overburden Layers

2019 ◽  
Author(s):  
Zhongzhi Fu ◽  
Shengshui Chen ◽  
Enyue Ji
Keyword(s):  
Thick Overburden

L'anticlinal du Gros Foug au nord de Serrieres-en-Chautagne (Savoie)

1949 ◽  
Vol S5-XIX (1-3) ◽  
pp. 161-166
Author(s):  
Pierre Hirtz
Keyword(s):  
Atypical Features ◽  
Thick Overburden

Abstract The Gros Foug anticline north of Serrieres-en-Chautagne, France, is essentially a typical Jura structure. The absence of important faults and other atypical features are attributed to the fact that a thick overburden partially or completely covered the Jurassic core of the anticline.

scholarly journals Borehole resistivity and induced polarization tomography at the Canadian Shield for Mineral Exploration in north-western Sudbury

2020 ◽  
Vol 168 ◽  
pp. 00002
Author(s):  
Mosaad Ali ◽  
Shulin Sun ◽  
Wei Qian ◽  
Abdou Dodo Bohari ◽  
Dusabemariya Claire ◽  
...  
Keyword(s):  
Mineral Exploration ◽  
Three Dimensional ◽  
Induced Polarization ◽  
Canadian Shield ◽  
High Resolution Data ◽  
Polarization Tomography ◽  
Data Survey ◽  
Thick Overburden ◽  
Complex Geology ◽  
North Western

Mineral exploration in the Canadian shield is a major challenge nowadays. This is because of the thick overburden cover and complex geology. Borehole tomography using resistivity and induced polarization (BHDCIP) method has a big advantage here due to that the data is acquired underneath the cover and data quality, in general, is superior to that acquired at the surface. BHDCIP provides good resistivity and chargeability data, which can identify mineralization easily. In this study, the BHDCIP survey with high-resolution data was carried out to identify mineralization zones in the McCreedy West zone, north-western Sudbury, Ontario, Canada. Two and three-dimensional (2-D and 3-D) inversion results of three boreholes clearly revealed the mineralization zones and that harmonised with previous geological studies in the study area. The BHDCIP method provided insight and developed an informative subsurface map to identify the mineralization zones, thus proving it as a beneficial tool used for mineral exploration in complex geology with a minimal data survey and an irregular geometrical distribution.

Experimental Study on Impermeability and Frost Resistance of High Strength Concrete Used in Shaft of Coal Mine

2011 ◽  
Vol 287-290 ◽  
pp. 1019-1023
Author(s):  
Jing Feng Hou ◽  
Dong Ming Guo ◽  
Hui Dong Xu ◽  
Zeng Kun Yang
Keyword(s):  
Coal Mine ◽  
Frost Resistance ◽  
High Strength Concrete ◽  
High Strength ◽  
Mineral Admixture ◽  
Cement Stone ◽  
Mine Shaft ◽  
Strength Concrete ◽  
Overburden Soil ◽  
Thick Overburden

This paper presents results of impermeability and frost resistance tests of a series of high strength concrete which will be used in Yuncheng coal mine shaft lining. And the shaft is one of the most difficult to construct using freezing method because of the extreme thick overburden soil. The results show the impermeability and frost resistance of the selected concrete mix proportion options can meet the special requirements of the shaft construction. It’s due to the low water-cement ratio, admixture and water-reducing agent decreases void caused by excess water. And the composite mineral admixture forms bubbles to cut off the tiny water permeable channels in cement stone. Also the filling effect and pozzolanic effect caused by fly ash contribute a lot. The research on high strength concrete used in shaft of coal mine with thick overburden soil is still rare worldwide.

NEW RESULTS OF POLYMETALLIC, PGE AND REE MINERALIZATION RESEARCH IN THE SUWAŁKI ANORTHOSITE MASSIF (NE POLAND)

2018 ◽  
Vol 472 (472) ◽  
pp. 271-284 ◽  
Author(s):  
Janina Wiszniewska ◽  
Ewa Krzemińska ◽  
Olga Polechońska ◽  
Zdzisław Petecki ◽  
Michał Ruszkowski ◽  
...  
Keyword(s):  
Deep Structure ◽  
Gravity Anomalies ◽  
Magnetic Anomalies ◽  
Ore Deposits ◽  
Borehole Data ◽  
Ne Poland ◽  
Anorthosite Massif ◽  
Deep Boreholes ◽  
Thick Overburden ◽  
Rock Suite

Suwałki Anortosite Massif (SAM) occurs in the crystalline basement of NE Poland within 200 km of the magmatic, Mesoproterozoic AMCG (anorthosite–mangerite–charnockite–granite) rock suite terrane called the Mazury Complex. SAM was discovered as a result of the drilling research of the prominent negative magnetic and gravimetric anomalies. There is an extensive negative anomaly of both potential fields related to the anorthosite massif. Gravimetric anomaly is surrounded by the bands of positive anomalies caused by rocks with elevated densities, such as granitoids, monzondiorites and granodiorites. A negative magnetic anomaly is surrounded by the bands of positive anomalies with significant amplitudes, particularly strongly marked from the south, west and north. Positive magnetic anomalies are associated with the presence of rocks with proven strong magnetic susceptibility due to the content of ferrolites (ilmenite-magnetite rocks) with accompanying Fe-Cu-Ni-Co sulphide mineralization. Fe-Ti-(V) ore deposits in the SAM were discovered in the early 1960s, in the region of Krzemianka and Udryn, but also Jeleniewo and Jezioro Okrągłe, under a thick overburden of Phanerozoic sedimentary rocks within small positive magnetic anomalies. These deposits were documented in about 100 deep boreholes to a depth of 2300 m, and the resources in C1 + C2 category were estimated for about 1.5 billion tons of titanium-magnetite ores with vanadium, mainly in the Krzemianka and Udryn ore fields. The model age obtained by the Re-Os NTIMS method for Fe-Ti-V ores and sulphides from the Krzemianka and Jezioro Okrągłe ore deposits was 1559 ±37 Ma with an initial ratio of 187Os/188Os = 1.16 ±0.06. This age was recognized as the age of the entire Suwałki Massif. Despite many years of research, the deep structure and the form of the massif has not been fully recognized. At present, geophysical and geological 3D modelling of borehole data is carried out using the OasisMontaj (Geosoft) software package. The 3D model is generated in the GeoModeller 3D application (Intrepid Geophysics) in order to recognize the geological correctness and interpretation of magnetic-gravity anomalies of the whole massif and its cover.

Study on Mine Shaft Liner Breaking Mechanism and Application of Monitoring System in Deep and Thick Overburden

2012 ◽  
Vol 446-449 ◽  
pp. 1633-1636
Author(s):  
Peng Li He ◽  
Cui Ran Liu
Keyword(s):  
Monitoring System ◽  
Underground Water ◽  
Coal Industry ◽  
Vertical Force ◽  
Mine Shaft ◽  
Additional Force ◽  
Additional Strain ◽  
Breaking Mechanism ◽  
Thick Overburden ◽  
Main Factor

The non-mining damage of shaft liner in deep and thick overburden occurred frequently in China. This causes heavy losses to the coal industry in China. The paper had a discussion on theories that explain the breaking mechanism of the mine shaft liner. As pointed out, the mining activities could make underground water table dropping and the strata consolidation and compaction could cause the overburden subsidence. Therefore a vertical additional force would be affected on the mine shaft liner and the vertical additional force would be the main factor to cause breakings on the mine shaft liner. According to the cause, the paper holds that a monitoring system should be built to monitor the additional strain of the mine shaft liner. Based on the analysis of these data, the safety of the mine shaft liner can be accuracy evaluated and timely forecasted. Therefore the mine liner breaking could be prevented before fracture by decreasing the vertical force or strengthening mine shaft liner.

UCS Neural Network Model for Real Time Sand Prediction

2010 ◽  
Vol 2 ◽  
pp. 1-13 ◽  
Author(s):  
Gbenga Folorunso Oluyemi ◽  
Babs Mufutau Oyeneyin ◽  
Chris Macleod
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Data Gathering ◽  
Time Data ◽  
Sand Control ◽  
Exploration And Production ◽  
Measurement While Drilling ◽  
Textural Data ◽  
Potential Evaluation ◽  
Thick Overburden

Exploration and production activities have moved into more challenging deep-water and subsea environments. Many of the clastic reservoirs in these environments are characterized by thick overburden, HP-HT and largely unconsolidated formations with challenging sand management issues. For effective overall field/reservoir management, it is crucial to know if and when sand would fail and be ultimately produced. Field-life sanding potential evaluation and analysis, which seeks to evaluate the sanding potential of reservoir formations during the appraisal stage and all through the development to the abandonment stage, is therefore necessary so that important reservoir/field management decisions regarding sand control deployment can be made. Recent work has identified Unconfined Compressive Strength (UCS) as a key parameter required for the evaluation and analysis of sanding potential of any reservoir formation. There is therefore the need to be able to predict this important sanding potential parameter accurately and in real time to reduce the level of uncertainties usually associated with sanding potential evaluation and analysis. In this work, neural network coded in C++ was trained with log-derived petrophysical, geomechanical and textural data to develop a stand-alone model for predicting UCS. Real-time functionality of this model is guaranteed by real time data gathering via logging while drilling (LWD) and other measurement while drilling (MWD) tools. The choice of neural network over and above other methods and techniques which have been widely used in the industry was informed by its ability to better resolve the widely known complex relationship between petrophysical, textural and geomechanical strength parameters.

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