China Oilfield Services Ltd 2019 AR2
The report highlights China Oilfield Services Limited's (COSL) performance and sustainable development initiatives for the fiscal year 2019. During the year, the company achieved a total revenue of RMB 31,075.8 million, representing a 42% increase compared to 2018, driven by a recovery in the oilfield services market. COSL continued to implement its technical and international development strategies, expanding its business presence in over 40 countries and regions. In terms of environmental performance, the company invested RMB 4.137 million in energy saving and emission reduction measures, achieving a total energy consumption of 490,935 tonnes of standard coal. Additionally, COSL initiated the construction of 12 LNG dual-fuel power guard supply vessels to promote green development.
Company: China Oilfield Services Ltd
Sector: Mining & quarrying
Country: China
Year: 2019
Type: AR2
Pages: 235
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China Oilfield Services Ltd
Annual Report
The report highlights China Oilfield Services Limited's (COSL) performance and sustainable development initiatives for the fiscal year 2019. During the year, the company achieved a total revenue of RMB 31,075.8 million, representing a 42% increase compared to 2018, driven by a recovery in the oilfield services market. COSL continued to implement its technical and international development strategies, expanding its business presence in over 40 countries and regions. In terms of environmental performance, the company invested RMB 4.137 million in energy saving and emission reduction measures, achieving a total energy consumption of 490,935 tonnes of standard coal. Additionally, COSL initiated the construction of 12 LNG dual-fuel power guard supply vessels to promote green development.
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Document Details
Report Year
2019
Reporting Period
Jan 1, 2019 - Dec 31, 2019
Fiscal Year
2019
Published
Feb 4, 2020
Type
Annual Report with Sustainability Disclosures
Language
English
Pages
File Size
Standards & Assurance
Reporting Standards
Materiality Assessment
ESG Data?Experimental: AI-extracted data, may contain inaccuracies
Energy Consumption
Water Consumption
Workplace Fatalities
Employees