Optimization of mining method in subsea deep gold mines: A case study

Regarding the importance of rivers, appropriate management of aggregate mining is of great significance. Mining of river materials has a direct impact on environmental conditions of the river. Today, aggregate mining management represents a crucial topic in river engineering. Often selected based on the pattern of the considered river, matrix method provides a suitable approach to improve the river aggregate mining management. The present research aims at presenting the application of the matrix method in river material mining location evaluation. Given the capabilities of the matrix method for determining potential of mine area and aggregate mining method, this method can be seen as a suitable solution for reducing negative environmental impacts of river material mining. A'la River is one of the most important rivers streaming in Khouzestan Province (Iran), with its sediment load and mining potential being of critical importance. In this research, the reach of A'la River at the intersection of Rood-Zard River and Rahmhormoz diversion dam was studied for aggregate mining and application of matrix method. The main purpose of this work is to study the application of matrix method to A'la River. The results indicate braided pattern of the river and appropriateness of the matrix method. Available volume of aggregate for mining within the mentioned reach of A'la River was estimated as 50,000 m3, and scraping method at a maximum depth of 1 m was proposed for mining of the aggregates.

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KAJIAN PERILAKU BELANJA KONSUMEN MENGGUNAKAN TEKNIK ASOSIASI DI SUPERMARKET (STUDI KASUS: TOSERBA X). [STUDY OF CONSUMER SHOPPING BEHAVIOR USING ASSOCIATION TECHNIQUES IN SUPERMARKET (CASE STUDY: TOSERBA X)]

DeReMa (Development Research of Management) Jurnal Manajemen ◽

10.19166/derema.v15i2.2424 ◽

2020 ◽

Vol 15 (2) ◽

pp. 282

Author(s):

Ronny Samsul Bahri ◽

Laura Lahindah

Keyword(s):

Data Mining ◽

Shopping Behavior ◽

Mining Method ◽

Consumer Spending ◽

Market Basket Analysis ◽

Association Pattern ◽

Use Of Data ◽

Spending Patterns ◽

Bahasa Indonesia

The development of retail companies in Indonesia is quite rapid causing the need for the use of data as a basis for decision making. As one of the developing retail stores, the floor display pattern has not been well managed and has not been linked to the pattern of consumer spending. Market basket analysis is one of the data mining method techniques to determine the association of consumer spending patterns in a purchase transaction. This study aims to determine whether there is an association pattern in each term of consumer spending in five divisions of supermarket products (all divisions, food, non-food, household or GMS & fresh). The term is divided into three, namely, term I (1-10), term II (11-20) and term III (21-month end). The data is processed using software Rapidminer version 5. The data processing results show an association relationship in several terms, namely all divisions in term I have influence, term II has no influence, term III has influence. Food division in term I has an influence, term II has no influence, term III has an effect. The nonfood division in term I has no influence, term II has no influence, term III has no effect. The GMS division in term I has no influence, term II has no influence, term III has no effect. The fresh division in term I has influence, term II has influence, term III has no effect. By using the results of the analysis, floor display and promotion patterns can be adjusted according to the consumer's shopping patterns. Abstrak dalam Bahasa Indonesia.Perkembangan perusahaan ritel di Indonesia yang cukup pesat menyebabkan perlunya pemanfaatan data sebagai dasar dalam pengambilan keputusan. Sebagai salah satu toko ritel yang sedang berkembang, pola pemajangan floor diplay belum dikelola dengan baik dan belum dikaitkan dengan pola belanja konsumennya. Market basket analysis merupakan salah satu teknik metoda data mining untuk menentukan hubungan asosiasi pola belanja kosumen dalam suatu transaksi pembelian. Penelitian ini bertujuan untuk mengetahui apakah terdapat pola asosiasi pada setiap termin pembelanjaan konsumen pada lima divisi produk supermarket (seluruh divisi, food, nonfood, household atau GMS & fresh). Termin terbagi menjadi tiga yaitu, termin I (tanggal 1-10), termin II (tanggal 11-20) dan termin III (tanggal 21-akhir bulan). Data diolah dengan menggunakan Software Rapidminer versi 5. Hasil pengolahan data menunjukkan adanya hubungan asosiasi pada beberapa termin yaitu Seluruh divisi dalam termin I ada pengaruh, termin II tidak ada pengaruh, termin III ada pengaruh. Divisi food dalam termin I ada pengaruh, termin II tidak ada pengaruh, termin III ada pengaruh. Divisi nonfood dalam termin I tidak ada pengaruh, termin II tidak ada pengaruh, termin III tidak ada pengaruh. Divisi GMS dalam termin I ada pengaruh, termin II tidak ada pengaruh, termin III tidak ada pengaruh. Divisi fresh dalam termin I ada pengaruh, termin II ada pengaruh, termin III tidak ada pengaruh. Dengan menggunakan hasil analisis, pola pemajangan floor display dan promosi dapat diselaraskan sesuai dengan pola belanja konsumen tersebut.

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Wall Optimisation - A Case Study From the Fimiston Open Pit, Kalgoorlie Consolidated Gold Mines

Proceedings of the 2007 International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering ◽

10.36487/acg_repo/708_26 ◽

2007 ◽

Author(s):

Adam Beer ◽

Michael Morrongiello

Keyword(s):

Open Pit ◽

Gold Mines

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Wongawilli roadway backfilling coal mining method - a case study in Wangtaipu coal mine

International Journal of Oil Gas and Coal Technology ◽

10.1504/ijogct.2019.098457 ◽

2019 ◽

Vol 20 (3) ◽

pp. 342 ◽

Cited By ~ 1

Author(s):

Liqiang Ma ◽

Zhiyuan Jin ◽

Wenpeng Liu ◽

Dongsheng Zhang ◽

Yao Zhang

Keyword(s):

Coal Mining ◽

Coal Mine ◽

Mining Method

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Roof Movement and Failure Behavior When Mining Extra-Thick Coal Seams Using Upward Slicing Longwall-Roadway Cemented Backfill Technology

Advances in Materials Science and Engineering ◽

10.1155/2020/5828514 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15 ◽

Cited By ~ 1

Author(s):

Xuejie Deng ◽

Zongxuan Yuan ◽

Lixin Lan ◽

Benjamin de Wit ◽

Junwen Zhang

Keyword(s):

Mechanical Analysis ◽

Movement Behavior ◽

Failure Behavior ◽

Mining Method ◽

Coal Seams ◽

Flat Bottom ◽

Final State ◽

Performance Requirements ◽

Cemented Backfill

A novel and environmental-friendly backfill mining method known as upward slicing longwall-roadway cemented backfill (USLCB) technology has recently been proposed and successfully applied in mines extracting extra-thick coal seams located under sensitive areas. This paper studies the effects USLCB had on roof movement and failure behavior using the mechanical analysis approach. The application of USLCB in the Gonggeyingzi Mine is taken as a case study with roof movement behavior being monitored over a single mining cycle, as well as over multiple mining cycles of different coal slices. In addition, backfill performance requirements to prevent roof failures where USLCB is implemented are studied. The results show that the deflection curves of the roof at the end of each mining cycle during mining the first and the six slices are symmetrical, but they change from asymmetrical to symmetrical during the mining progresses of the second slice to the fifth slice. The final state of roof movement after the first slice, and through to the fifth slice, displays an obvious “flat bottom” pattern in the middle of the deflection curve. The roof movement during the removal of the top slice is noticeably different from other slices. The results also show that the requirements of the elastic modulus, as well as the strength of the backfill, increase as the number of mined slices increases from 1 to 5, but the requirements drop sharply for mining the top slice.

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