Brazilian BIM Objects Technical Standard: a first approach on Acoustics parameters

The Building Information Modeling (BIM) has increased worldwide as a new approach on the building design, construction, and facilities management. Given this panorama, the Brazilian Government enforced a regulation in 2019, Decreto 9983, which outlines a roadmap for the BIM implementation in the Brazilian construction ecosystem. As one of its guidelines is to publish the necessary technical standards, a special committee, ABNT CEE 134, was hosted at the Brazilian organization for Technical Standardization with a dedicated WG for establishing BIM objects parameters. In the framework of the WG, a subgroup on Acoustics analysis aimed to deal on how to incorporate acoustic requirements to the BIM Object. In this paper, the authors describe the development of this feature, unprecedented so far. The approach adopted for incorporating acoustic requirements into BIM objects at the Brazilian BIM Standard aimed to facilitate the workflow of acoustic consulting, while adapting it to the limitations imposed by the existing software and the construction market culture in Brazil. This paper also provides some guidelines on how this issue could be addressed in future standards revisions.

Study of Factors Influence on the Variability of Time for Consensus Building in Coalitions Based on Regular Markov Chains

Draft standard is approved if and only if consensus of the technical committee for standardization (TC) is ensured before its approval by the standardization body at the national, regional and international level. Previously published works of authors dedicated to the construction of a mathematical model of time to build a consensus (number of negotiations) in terms of variation in the number of TC members and their level of authoritarianism. The present study is a continuation of these works for the case of the formation of coalitions in TC. The mathematical model is constructed to ensure consensus on the work of technical standardization committees in terms of coalitions, which are overcome during the negotiation process by concessions. This paper analyzes the factors, which influence the time for consensus building in this case: the value of the assignment and an index of the effect of the coalition. It is proved that the time to build a consensus signifi-cantly depends on the value of unilateral concessions coalition and weakly depends on the size of coalitions with a fixed number of TC members. Built regression model of dependence of the average number of approvals from the value of the assignment. It was revealed that even a small concession leads to the onset of consensus, increasing the size of the as-signment results (with other factors being equal) to a sharp decline in time before the consensus. It is shown that the as-signment of a larger coalition against small coalitions takes on average more time before building a consensus. The factors influencing the variability of the number of concessions were investigated. The change in the root-mean-square deviation (RMS) of the time to build a consensus varies nonlinearly from small concessions Y=10% to large Y=75%, regardless of the ratio of the number of members between coalitions. In the simulations, at concessions Y=10% there is the largest variation among the number of consensuses in the experiments. Concession of the authoritarian leader in group reduces the number of negotiations and increases the quality of consensus. The results obtained are of practical value for all structures where the emergence of coalitions entails the impossibility of consensual decision-making and requires consideration of different ways to build a consensual solution.

The Ethics of Artificial Intelligence: From Philosophical Discussions to Technical Standardization

Artificial intelligence today is a rapidly developing branch of science and technology. The implementation of artificial intelligence technology in industry, communications, services and leisure can lead to serious and uncontrollable societal changes. At the same time, the use of artificial intelligence in everyday life, especially, when making decisions, leads to ethical collisions. The article attempts to answer some philosophical questions concerning the problem of decision making and human responsibility in situations caused by the use of the artificial intelligence technology. The current situation is also analyzed in the field of international technical standardization of artificial intelligence ethics and possible directions for its further development.

Seven Pillars in Cost Effectiveness for Sustaining the Life of Mature Fields: an Example from Mahakam Block

Maintaining mature fields provides major challenges in which production and resources are decreasing, while the operations complexity is increasing. This condition leads to increasing project risk, rising cost, and eventually decreasing company’s profit. New development projects may become sensitive to cost. Low oil price environment has made the situation even more challenging. This paper will discuss the strategy being implemented in Mahakam to overcome the challenges as a mature asset. Having produced for more than 40 years, Mahakam fits perfectly in the category of mature, thus fundamental changes are needed for ensuring its sustainability. One of the main focus areas is cost effectiveness. Cost structure was investigated in order to identify the main cost drivers. Then, multiple workshops were held to discuss any possible solutions to improve the cost effectiveness. For capturing ideas from bigger audience, an online platform was created where employees can submit ideas. Lastly, a communication media is regularly distributed to maintain employee’s engagement to the program. Seven pillars in cost effectiveness have been identified for Mahakam to respond to the current situation; Budget accuracy, technical standardization and innovation, change of working philosophy, operations optimization, supply chain optimization and renegotiation, cooperation with other companies, and organizational right-sizing. Several initiatives under those pillars have been successfully implemented resulting in 20% reduction of operational cost in 2019 and will be sustained for the years to come without compromising safety. As the challenge facing mature fields is typically similar, the aforementioned approach will likely not only be applicable in Mahakam but also in other mature fields. Some adaptations might be needed to adjust with the specific characteristic of each individual field. Cost effectiveness will generate capability to continue future investment for sustaining the life of mature fields which is one of the key elements for securing energy supply in Indonesia.