Marine environmental monitoring programs: tips on design, measurement and interpretation

2012 ◽  
Vol 52 (1) ◽  
pp. 317 ◽  
Author(s):  
John Russell Hanley

Marine environmental monitoring programs are these days a standard requirement for the oil and gas industry in all jurisdictions. Monitoring programs are generally required during the construction and siting of infrastructure in or near the marine environment and then also for the operational phases of that infrastructure. The types and scales of monitoring programs developed and implemented vary enormously from project to project and typically reflect the complex interplay between often competing factors such as legislative framework, environmental and political sensitivities, cost, industry standards, existing information, predicted levels of impact, access to technology, and the level of professional expertise engaged. With so many factors influencing the design of a program it is sometimes difficult to focus on the core requirements of any marine environmental monitoring program. Using case examples this paper provides some advice on choosing which potential impacts are important to monitor, developing a good study design (including the importance of baseline data collection and pilot studies), choosing the right parameters to monitor, avoiding the seduction of technology, and selecting appropriate statistical tests. The other topic covered is some advice on the interpretation of results with emphasis on the need for clarity at the beginning of a monitoring program about what the data collected will, or can, be used for.

2018 ◽  
Vol 26 (2) ◽  
pp. 169-180 ◽  
Author(s):  
Joshua G. Cronmiller ◽  
Bram F. Noble

Long-term regional environmental monitoring, coupled with shorter-term and more localized monitoring carried out under regulatory permitting processes, is foundational to identifying, understanding, and effectively managing cumulative environmental effects. However, monitoring programs that emerge to support cumulative effects science are often short-lived initiatives or disconnected from land use planning and regulatory decision making. This paper examines the history and evolution of environmental monitoring in the Lower Athabasca region of Alberta, Canada, and the enabling and constraining influences of institutional arrangements. Methods involved a review of regional-scale monitoring programs based on an analysis of monitoring agency mandates, performance reports, and external program reviews, supplemented by discussions with monitoring program or agency key informants to triangulate results. Results show that monitoring to support cumulative effects understanding in the Lower Athabasca has advanced considerably, especially since the mid-1990s, but its relevance to, and impact on, cumulative effects management and decision making has been stifled by institutional arrangements. Monitoring has been episodic, reflecting shifting priorities and competing mandates; criticized by stakeholders based on concerns about transparency, credibility, influence over decision making; and characterized by short-lived commitments by the agencies involved. This has generated significant uncertainty about the stability of institutional arrangements to support long-term environmental monitoring, and tensions between the need for scientific autonomy for credible science whilst ensuring the pursuit of monitoring questions that are relevant to the day-to-day needs of regulatory decision makers. Regional monitoring programs require, at a minimum, clear vision and agreed-upon monitoring questions that are of scientific and management value, meaningful and balanced stakeholder engagement, and a clear governance process to ensure credibility and influence of monitoring results on decision making.


2013 ◽  
Vol 53 (2) ◽  
pp. 480
Author(s):  
Andrew Smith

The Gorgon Project will develop the Gorgon and Jansz-Io gas fields, located in the Greater Gorgon area, about 130 km off the northwest coast of WA. It includes the construction of a 15 million tonne per annum (mtpa) LNG plant on Barrow Island and a domestic gas plant with the capacity to provide 300 terajoules per day to supply gas to WA. Barrow Island—where Gorgon will be located—is an internationally significant nature reserve and the site of Australia’s largest onshore operating oil field for the past 45 years. As a world-class example of environmental management, it has shown that conservation and development can successfully co-exist. Recognising the importance of Barrow Island’s conservation values, the terrestrial and subterranean environmental monitoring program encompasses key ecological elements on Barrow Island including birds, mammals, subterranean fauna, vegetation, and surface water and land forms. These elements are monitored in relation to the potential impact from environmental stressors identified during pre-construction environmental impact assessments. Here, the author describes the monitoring surveys conducted during the year as appropriate according to the element being considered. All surveys are executed using the Gorgon Project field mobilisation and deployment process, a stringent and dedicated system that ensures all essential health and safety processes are in place and adhered to. Each element is monitored for signs of positive or negative impact across Barrow Island with comparisons made between the pre-determined Terrestrial Disturbance Footprint (TDF) and areas outside of the TDF in which the Gorgon Project is committed to causing zero environmental harm. Statistical control charts and tiered response triggers based on standard deviations are used to inform management decisions about potential environmental effects attributable to the Gorgon Project. A continuous review process is in place to ensure all monitoring programs are scientifically robust and use up-to-date methodologies. Monitoring reports are used to assess the validity of each program and supplementary programs aimed at addressing gaps in existing knowledge are started as and when needed. A reporting framework is in place to ensure regulatory authorities are informed and collaborations are sought to advance overall understanding of the ecology and biology of Barrow Island fauna and flora. The Gorgon Project is operated by an Australian subsidiary of Chevron and is a joint venture of the Australian subsidiaries of Chevron (about 47%), ExxonMobil (25%), Shell (25%), Osaka Gas (1.25%), Tokyo Gas (1%) and Chubu Electric Power (0.417%).


2017 ◽  
Vol 13 (4) ◽  
pp. 797-799
Author(s):  
Delina Lyon ◽  
Koen Bröker ◽  
Ray Valente ◽  
Nicolas Tsesmetzis

2020 ◽  
Vol 19 (04) ◽  
pp. 2050036
Author(s):  
Jafar Razmi ◽  
Mahmood Mehrvar ◽  
Anis Hassani

In today’s knowledge-based advanced world, pioneer organisations emphasise more on knowledge orientation, being leaders in knowledge management (KM) implementation. The purpose of this paper is to identify the key factors influencing the successful implementation of each KM process in Iranian Oil and Gas Industry, specifically about operational projects which are classified based on the McKinsey 7S model as KM enablers, namely, strategy, structure, system, skill, style, staff and shared values. Then the paper assesses the KM maturity level to categorise and prioritise the KM enablers in each level. Moreover, a conceptual model is proposed to theorise the relationship between organisational agility and each KM process, namely, knowledge creation, storage, sharing and utilisation. Data analysis and statistical tests are concluded using structural equation model through the combination of confirmatory factor and path analysis. The results show the validity and fitness of the proposed model and verification of all the hypotheses, i.e. there are positive relationships between each KM process and agility.


2011 ◽  
Vol 51 (2) ◽  
pp. 736
Author(s):  
Allan Drake-Brockman ◽  
Daniel White

Since the commencement of the Fair Work Act 2009 (Cth) (FW Act) on 1 July 2009, there has been a significant increase in union activity in Australia’s oil and gas industry. Recent case examples concerning the Pluto Project and various other disputes flag the importance of project managing industrial relations to ensure project delivery dates are met. Due to the contract interdependencies on large scale oil and gas projects, industrial action taken by a union in relation to a single sub-contractor can have ripple effects—causing budget blow-outs. Emerging union influence is such a concern that some of Australia’s leading companies operating in the oil and gas industry now identify industrial activity as a key project risk. Furthermore, many Australian leading financial institutions now assess a company’s potential exposure to industrial action as part of their key lending criteria. New innovative industrial relations strategies are now part of the weaponry Australian unions use when representing their members—this includes global union strategies. Moreover, there is already evidence that the FW Act can promote the occurrence of demarcation disputes between unions. This type of industrial activity leads to poor outcomes for employers and can prove to be very costly—especially in a multi-million dollar a day industry. Providing insight into the recent union activities in the industry are the following cases: Heath v Gravity Crane Services Pty Ltd Boskalis Australia Pty Ltd v Maritime Union of Australia CFMEU v Woodside Burrup Pty Ltd Offshore Marine Services Pty Ltd v Maritime Union of Australia There are a number of strategies oil and gas companies and sub-contractors can use to mitigate the effects of union influence in the workplace.


2020 ◽  
Vol 18 (2) ◽  
pp. 55
Author(s):  
Rafael Gonçalves Patrocínio ◽  
Jéfferson Augusto Colombo

This paper proposes a monthly composite leading indicator to anticipate turning points in the economic activity of the upstream oil and gas industry in Rio de Janeiro, from January 2002 to May 2019. Firstly, we build a database with 61 series, and categorize each of them into i) rapidly responsive to economic activities; ii) expectation-sensitive; or iii) prime movers indicators. Afterward, we remove the seasonality of the series through the X-13 ARIMA-SEATS method and use the Bry-Boschan algorithm to identify the cycles. Then, we evaluate the components’ fit to integrate the composite leading indicator through four statistical tests: cross-correlation, quadratic probability score, Granger causality, and probit. The assessment of the composite leading indicator demonstrates that it leads 67% of the peaks and 100% of the troughs in the target series (5/6 of the turning points). Furthermore, the average leading period is 8.4 months, while the median is 9 and the standard error is 2.8 months. We contribute to the literature by creating, to our knowledge, the first leading indicator for the oil and gas industry in Brazil.


2012 ◽  
Author(s):  
Marie-Charlotte Alboussicre ◽  
Francois Galgani ◽  
Benjamin Kampala ◽  
Sophie Canovas ◽  
Laurent Cazes ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document