Measuring organisational resilience: small firms dealing with gas investment cycles

2016 ◽  
Vol 56 (2) ◽  
pp. 570
Author(s):  
Jerad Ford ◽  
Martie-Louise Verreynne ◽  
John Steen

The capital construction phase of the CSG–LNG projects in Queensland has required significant investment in employment, and provided opportunities for local contractors with spillover effects for the regional economy. As these projects transition into the operational phase they will sustain a different supply chain profile, which has implications for the local economy. The authors’ primary question is, how do local business adapt to these changes? Initial results indicate that some businesses adapt better than others. The authors call these small to medium sized (SME) businesses resilient organisations. Building on data from a survey of SMEs in the gasfields, the authors show how resilient firms are able to learn, adapt, innovate and renew in response to these environmental changes. The findings suggest ways to support SMEs to adapt to the changes brought about by this economically important industry. The findings from this study also have wider implications for other regions in Australia and around the world that may encounter significant oil and gas investments in the future.

e-Polymers ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 346-354
Author(s):  
Guoquan Qi ◽  
Hongxia Yan ◽  
Dongtao Qi ◽  
Houbu Li ◽  
Lushi Kong ◽  
...  

Abstract The chapter deals with the performance evaluation of the polyethylene of raised temperature resistance (PE-RT) and polyethylene (PE) using autoclave test under sour oil and gas medium conditions. The analyses of performance changes showed that PE-RT has good media resistance at 60°C. As the temperature increases, its mechanical properties decrease, accompanied by an increase in weight. Comparative analyses showed that no matter what temperature conditions are, PE-RT media resistance is better than PE80. The better media resistance of PE-RT depends on its higher degree of branching. Short branches are distributed between the crystals to form a connection between the crystals, thereby improving its heat resistance and stress under high-temperature conditions. PE-RT forms an excellent three-dimensional network structure through copolymerization, ensuring that it has better media resistance than PE80. However, the mechanical performance will be attenuated due to the high service temperature.


2013 ◽  
Vol 423-426 ◽  
pp. 2035-2039
Author(s):  
Long Cang Huang ◽  
Yin Ping Cao ◽  
Yang Yu ◽  
Yi Hua Dou

In the process of oil and gas well production, tubing connection stand the axial alternating load during open well, shut well and fluid flow. In order to know premium connection seal ability under the loading, two types of P110 88.9mmx6.45mm premium tubing connections which called A connection and B connection are performed with finite element analysis, in which contact pressures and their the regularities distribution on sealing surface are analyzed. The results show that with the increasing of cycle number, the maximum contact pressures on sealing surface of both A connection and B connection are decreased. The decreasing of the maximum contact pressures on B connection is greater than those on A connection. With the increasing of cycle number of axial alternating compression load, the maximum contact pressure on sealing surface of A connection is decreased, and the maximum contact pressure on sealing surface of B connection remains constant. Compared the result, it shows that the seal ability of A connection is better than B connection under axial alternating tension load, while the seal ability of B connection is better than type A connection under axial alternating compression load.


Nafta-Gaz ◽  
2021 ◽  
Vol 77 (5) ◽  
pp. 283-292
Author(s):  
Tomasz Topór ◽  

The application of machine learning algorithms in petroleum geology has opened a new chapter in oil and gas exploration. Machine learning algorithms have been successfully used to predict crucial petrophysical properties when characterizing reservoirs. This study utilizes the concept of machine learning to predict permeability under confining stress conditions for samples from tight sandstone formations. The models were constructed using two machine learning algorithms of varying complexity (multiple linear regression [MLR] and random forests [RF]) and trained on a dataset that combined basic well information, basic petrophysical data, and rock type from a visual inspection of the core material. The RF algorithm underwent feature engineering to increase the number of predictors in the models. In order to check the training models’ robustness, 10-fold cross-validation was performed. The MLR and RF applications demonstrated that both algorithms can accurately predict permeability under constant confining pressure (R2 0.800 vs. 0.834). The RF accuracy was about 3% better than that of the MLR and about 6% better than the linear reference regression (LR) that utilized only porosity. Porosity was the most influential feature of the models’ performance. In the case of RF, the depth was also significant in the permeability predictions, which could be evidence of hidden interactions between the variables of porosity and depth. The local interpretation revealed the common features among outliers. Both the training and testing sets had moderate-low porosity (3–10%) and a lack of fractures. In the test set, calcite or quartz cementation also led to poor permeability predictions. The workflow that utilizes the tidymodels concept will be further applied in more complex examples to predict spatial petrophysical features from seismic attributes using various machine learning algorithms.


2017 ◽  
Vol 2 (3) ◽  
pp. 235
Author(s):  
Harnita Rosalina

Segara Anakan is a lagoon located in estuary area of Citanduy and Cibeureum rivers. The main problem that exists in the region Segara Anakan is a shrinking area of Segara Anakan lead lagoon function becomes ineffective due to the increased volume of sediment in estuaries Citanduy. Refinement Segara Anakan will impact annual floods that occurred in the area downstream Citanduy. Have far-reaching is the decline in fish production, which makes the source of livelihood for the community residents of Kampung Laut, furthermore, the environmental changes that occurred in the area Segara Anakan have resulted in shrinking coastal fisheries resources and the expansion of land arising from silting. Assessment of the problem conducted by the method of approach of Analytical Hierarchy Process(AHP) to obtain the best alternatives among three alternatives being offered to sustain the function of Segara Anakan Lagoon. These three alternatives include the 1) Dredging the Lagoon and Upstream Watershed Conservation; 2) Dredging the Lagoon and Reclamation Work around Segara Anakan, and 3) Dredging the Lagoon and Citanduy Diversion. Some criteria and sub-criteria are adapted to support the selection of the alternatives and related questionnaires were developed, and the questionnaire filling was carried out through the implementation of Focus Group of Discussion or FGD. The criteria include several aspects of the criteria and sub-criteria are technical (floods, silting), socioeconomic (the tourist area, the local economy), as well as the environment (fisheries/shipping, agriculture and mangrove forests). Results of the analysis applying the AHP method showed the consistent value on the Alternative 3), i.e. the Dredging of the Lagoon and the Upstream Watershed Conservation (38%).


Author(s):  
I. Smyrnov

Rural tourism is now seen as an important direction of development of the regional economy. From the perspective of sustainable development rural tourism affects the economic, social and environmental aspects of the regional and local economy. Rural tourism is closely linked with agrotourism, eco-tourism, natural tourism and so on. Sustainable rural tourism can be realized by applying logistic, geographic and marketing approaches as components of sustainable development strategies. Logistics approach is determined by logistic potential of resource base of rural tourism and appropriate tourist flows regulation. In this context in the article the concept of tourism capacity or capacity of the resource base of rural tourism is used. The problem of the definition of tourism pressure on the resource base of rural tourism, particularly in natural landscapes is disclosed. Unlike environmental and recrealogical sciences, which stop at the capacity definition of the resource base of tourism, tourism logistics compares this figure with the existing tourist flows and accordingly determines the safe way of tourism management to ensure its sustainable nature. It was shown that these strategies boil down to two basic types – the further development of tourism in a particular area or limit such activities to conserve the resource base of tourism. Recreational (travel) load is the indicator that reflects the impact of tourism on the resource base of tourism (especially landscape complex), expressed by the number of tourists or tourists-days per area unit or per tourist site for the certain period of time (day, month, season year). There are actual, allowable (the maximum) and destructive (dangerous) types of travel load. The latter can lead recreational area or resource base of rural tourism to destruction. Thus, depending on the intensity of tourism resource base using in rural tourism it may change – according to tourist consumption. Large number of tourists affects the entire range of recreational destinations and their individual components. The most vulnerable part of the environment in this sense is vegetation, except that significant changes may occur with soil, water bodies, air and so on. The geographic dimension of the problem of rural tourism sustainable development includes the concept of zoning, ie the division of the territory, offering to develop rural tourism in several zones with different modes of travel usage – from a total ban (in protected areas) for complete freedom with transitional stages, involving various limit degrees in the development of rural tourism. Marketing approach reflects the application of the curve R. Butler to the stages of development of rural tourism destinations with the release of such steps as: research, involvement, development, consolidation, stagnation (also called “saturation”), revival or decline. Shown the models that link the stage of resource base tourist development (under “Curve Butler”), strength of tourism consumption the magnitude of such effects (eg weak (disperse) impact in large scale, strong (concentrated) impact in large scale, strong (concentrated) impact in small scale, weak (disperse) impact in small scale), dynamics of tourism development at the territory.


2013 ◽  
Vol 4 (3) ◽  
pp. 361
Author(s):  
Marwan Asri

Banz (1981) and Reiganum (1981) claim that, in terms of returncreation, small firms tend to perform better than large firms. They implicitly claim that the phenomena (which is known as size effect) is stable and exists over the period of examination. This study intends to investigate the existence of size effect in Indonesian market and more specifically, to test whether stages of economic cycle (expansion and contraction stages) determine the existence of the effect. The results of the study show that size effect does exist in the market for the whole period of observation (1991-2001). However, when the period is divided into two parts according to the stage of economic cycle, the  statistical analysis results are not supportive to the conclusion about the size effect.


2019 ◽  
Vol 59 (2) ◽  
pp. 690
Author(s):  
Tom Quinn

Queensland boasts a rich endowment of resource wealth, which has seen the state develop a world-class industry that contributes in many ways to the quality of life for our local communities. The development of the coal seam gas industry has become an integral part of regional Queensland, playing a pivotal role in the economic prosperity of local towns. Building regional strength is achieved by providing employment and training, using and building the capability of businesses and supporting community projects. Local recruitment strategies include regional recruitment roadshows, Yarn Ups and partnering with local labour hire agencies. For the sustainment of local employment over the long term, companies must build processes to develop our skilled workers of the future, investing in initiatives such as apprenticeship programs. Maximising local economy interaction is achieved by prioritising local procurement, using local Chambers of Commerce to build strong local supplier networks and committing to supporting and developing local business capability through mentoring, business incubation and training and competency development to improve the ability of local businesses to meet contractual commitments. Investing in and supporting local grass roots community groups, clubs and associations that provide important services to their communities through a community grants program provides lasting benefits for community members who count on the vital support of these organisations in their day-to-day lives. The oil and gas industry brings value to local communities and it is imperative that we are collectively focused on building positive relationships and supporting local economic sustainability.


1978 ◽  
Vol 3 (4) ◽  
pp. 279-284
Author(s):  
K.R. Shaligram

Ancillary units are small firms manufacturing and supplying intermediate goods, typically to large firms. Several policy measures are under consideration to raise the output of the ancillary industry to the level of 15 per cent of the value of output of the large scale industry by 1985. The underlying assumption appears to be that the ancillary status enhances the prospect for the viability of the small firm. This paper examines whether ancillary units perform better than small scale units (small manufacturers of end products) under the conditions prevailing in India. The findings reveal no significant difference in the mean performance of the two classes of small firms. It also draws implications for policymakers and management from the findings.


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