The Netherlands: Resource Management and Civil Society in the Natural Gas Sector

2017 ◽  
pp. 181-199
Author(s):  
Aad Correljé
Keyword(s):  
Civil Society ◽  
Resource Management ◽  
Natural Gas ◽  
The Netherlands

scholarly journals Regulating Subsidence and its uncertainty in the Dutch Wadden Sea

2020 ◽  
Vol 382 ◽  
pp. 63-70
Author(s):  
Johannes A. de Waal ◽  
Mathijs W. Schouten
Keyword(s):  
Natural Gas ◽  
The Netherlands ◽  
Land Subsidence ◽  
Wadden Sea ◽  
Gas Production ◽  
Reservoir Rock ◽  
Proper Management ◽  
Subsidence Rate ◽  
Non Linear ◽  
Regulatory Approach

Abstract. At the start of gas production its effects on land subsidence are not certain. There are uncertainties in mechanisms, models and parameters. Examples are non-linear deformation of reservoir rock, fault transmissibility, behaviour of overlaying salt and aquifer activity. Looking back at historical cases in the Netherlands, a factor two or three difference between initial prediction and final outcome is quite common. As the Dutch regulator, SSM is tasked with assuring proper management by operators of the risks associated with land subsidence from natural gas production in The Netherlands. Large initial uncertainties can only be tolerated if operators can demonstrate that timely actions can still be taken when predefined subsidence limits are at risk of being exceeded now or in the future. The applied regulatory approach is illustrated by the case history of gas production induced subsidence in the Dutch Wadden Sea area. This environmentally highly sensitive UNESCO World Heritage Site is a natural gas province. Extensive legal, technical and organisational frameworks are in place to prevent damage to its natural values. Initial uncertainties in the predicted subsidence (rate) were later exacerbated by the detection of strong non-linear effects in the observed subsidence behaviour, leading to new concerns. It was realised that – depending on the underlying physical cause(s) – there will be a different impact on future subsidence. To assure proper management of the additional uncertainty by the operator, several improvements in the regulatory approach have been implemented. Possible underlying mechanisms had to be studied in depth and improved data analysis techniques were requested to narrow down uncertainties as time progresses. The approach involves intensified field monitoring, scenario's covering the full range of uncertainties and a particle filter approach to handle uncertainties in predictions and measurements. Spatial-temporal double differences, production data and the full covariance matrix are used to confront scenario predictions against measurements and to assess their relative probability. The regulator is actively involved in assuring this integrated control loop of predictions, monitoring, updating, mitigation measures and the closing of knowledge gaps. The regulator involvement is supported in the Mining law and by appropriate conditions in the production plan assent. With the approach it can be confidently assured that subsidence (rate) will remain within the allowed range.

scholarly journals Methane emissions in the Netherlands: The Groningen field

Elem Sci Anth ◽  
2018 ◽  
Vol 6 ◽  
Author(s):  
Tara I. Yacovitch ◽  
Bruno Neininger ◽  
Scott C. Herndon ◽  
Hugo Denier van der Gon ◽  
Sander Jonkers ◽  
...  
Keyword(s):  
Natural Gas ◽  
The Netherlands ◽  
Oil And Gas ◽  
Methane Emissions ◽  
Production Volume ◽  
Offshore Platforms ◽  
Source Characterization ◽  
Gas Field ◽  
Study Region ◽  
Individual Site

The Groningen natural gas field in the Netherlands – one of Europe’s major gas fields – deploys a “production cluster” infrastructure with extraction, some processing and storage in a single facility. This region is also the site of intensive agriculture and cattle operations. We present results from a multi-scale measurement campaign of methane emissions, including ground and airborne-based estimates. Results are compared with inventory at both the facility and regional level. Investigation of production cluster emissions in the Groningen gas field shows that production volume alone is not a good indicator of whether, and how much, a site is emitting methane. Sites that are nominally shut down may still be emitting, and vice-versa. As a result, the inventory emission factors applied to these sites (i.e. weighted by production) do a poor job of reproducing individual site emissions. Additional facility-level case studies are presented, including a plume at 150 ± 50 kg CH4 hr–1 with an unidentified off-shore emission source, a natural gas storage facility and landfills. Methane emissions in a study region covering 6000 km2 and including the majority of the Groningen field are dominated by biogenic sources (e.g. agriculture, wetlands, cattle). Total methane emissions (8 ± 2 Mg hr–1) are lower than inventory predictions (14 Mg hr–1) but the proportion of fossil fuel sources is higher than indicated by the inventory. Apportionment of methane emissions between thermogenic and biogenic source types used ethane/methane ratios in aircraft flasks and ground-based source characterization. We find that emissions from the oil and gas sector account for 20% of regional methane, with 95% confidence limits of (0%, 51%). The experimental uncertainties bound the inventory apportionment of 1.9%, though the central estimate of 20% exceeds this result by nearly 10 times. This study’s uncertainties demonstrate the need for additional research focusing on emissions apportionment, inventory refinement and offshore platforms.

New Tanzanian government’s focus may shift

2021 ◽  
Keyword(s):  
Civil Society ◽  
Natural Gas ◽  
Rare Earths ◽  
Liquefied Natural Gas ◽  
Content Type ◽  
Development Agenda

Significance Magufuli and the ruling Chama Cha Mapinduzi (CCM) have entered 2021 on a high, having swept the October 31 elections and essentially removed all vestiges of opposition to their power. They now need to deliver on their ambitious development agenda. Impacts Crackdowns against the opposition, civil society and other critics will intensify. Persistent bottlenecks in government suggest progress towards a flagship USD30bn liquefied natural gas project may remain slow. Reports that Tanzania is close to finalising a deal for its first ever rare earths mine could give Magufuli’s agenda an early boost.

Management of Large Balanced Scorecard Implementations

2001 ◽  
pp. 231-239
Author(s):  
Peter Verleun ◽  
Egon Berghout ◽  
Maarten Looijen ◽  
Roel van Rijnback
Keyword(s):  
Resource Management ◽  
The Netherlands ◽  
Measurement System ◽  
Balanced Scorecard ◽  
Business Performance ◽  
Information Resource ◽  
Massive Data ◽  
Insurance Company ◽  
Management Framework ◽  
The Balanced Scorecard

In this chapter, established information resource management theory is applied to improve the development and maintenance of large balanced scorecard implementations. The balanced scorecard has proved to be an effective tool for measuring business performance. Maintaining a business-wide balanced scorecard measurement system over a longer period implies, however, many risks. An example of such a risk is the excessive growth of scorecards as well as scorecard metrics, resulting in massive data warehouses and difficulties with the interpretation of data. This is particularly the case in large organisations. This chapter proposes balanced scorecard management framework that is illustrated with the experience gathered from the company-wide balanced scorecard implementation in the insurance company Nationale-Nederlanden in the Netherlands.

Papua New Guinea in 2016

Asian Survey ◽  
2017 ◽  
Vol 57 (1) ◽  
pp. 194-198 ◽  
Author(s):  
Ronald May
Keyword(s):  
Civil Society ◽  
Natural Gas ◽  
University Students ◽  
Papua New Guinea ◽  
Prime Minister ◽  
New Guinea ◽  
Gas Production ◽  
Liquefied Natural Gas ◽  
Gdp Growth ◽  
Step Down

Prime Minister Peter O’Neill came under continuing pressure to step down pending resolution of corruption charges but resisted demands from university students and civil society groups and convincingly defeated a parliamentary vote of no confidence. Papua New Guinea experienced a further decline in GDP growth and faced landowner threats to shut down liquefied natural gas production.

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