The Use of Dominance, Influence, Steadiness and Compliance (DISC) Personality Test in the Assessment of Accidents Likelihood on Offshore Drilling Operations

Author(s):  
Carlos Henrique Bittencourt Morais ◽  
Ulrico Barini Filho ◽  
Marcelo Ramos Martins

Abstract Brazilian offshore drilling operations are carried out in a highly demanding and complex working environment. The geological characteristics of the most productive Brazilian reservoirs, located on the so-called Pre-Salt basin, actually implies for their exploration the overcoming of water depths greater than 1,500 meters and the construction of wells that can reach up to 7,000 meters of length. In such environment, human reliability plays a primordial role regarding safety issues. On the same token, in the field of risk analysis, the consideration of human behavior holds a unique position and its relevance for the consubstantiation of accidents is widely recognized throughout the literature. Nonetheless, a comprehensive way to model it is still an ongoing effort. In this challenge, human error, understood both as a success or a failure probability, provided the first base for the development of techniques capable to infer the outcome towards man machine interaction (MMI). Such stand point gave birth to a series of tools and methodologies, usually called as human reliability analysis (HRA) first generation tools. In an attempt to address the perceived deficiencies of the first-generation tools, the decade of the 1990’s saw the introduction of HRA models based on cognitive assumptions, naturally called HRA second-generation tools. On its turn, the cognitive modeling perspective has demanded the adoption of more sophisticated architectures that, ultimately, have been leading to the dynamically account of the cognitive process. In this context, the present work aims to contribute for this debate analyzing the use of the Dominance, Influence, Steadiness and Compliance (DISC) personality test in the assessment of accidents likelihood on offshore drilling operations in Brazil. By means of actual data collected during the years 2016 and 2017, the paper develops a qualitative discussion of the foreseen outcomes regarding accident proneness considering the working and the under-pressure profiles advocated on DISC.

Author(s):  
Samet Bicen ◽  
Cagatay Kandemir ◽  
Metin Celik

This study conducts a practical application of shipboard operation human reliability analysis (SOHRA) to a crankshaft overhauling operation of a general cargo ship at dry-docking period. The SOHRA approach includes error producing condition (EPC) and general task type (GTT) parameters to consistently calculate the human error probability (HEP) values of operation steps. In this case, a comprehensive overhauling of main engine was planned at shipyard since the ship has experienced a catastrophic failure. An onboard survey to ship engine room is conducted to monitor the operational conditions. The targeted operation, involves disassembly, maintenance, and reassembly stages, is monitored based on 39 sub-tasks. According to the initial findings, immediate recovery actions are suggested to eliminate critical safety issues in a timely manner. Moreover, an extended discussion through long-term safety recommendations are also provided. The results revealed from case study illustrates that HEP values in maintenance operations are sensitive to ship operating conditions. The proposed approach is found very useful by company executives to support ship technical superintendents in critical operation monitoring. The further study is considered to develop mobile application of SOHRA specific to maintenance operations onboard ships.


Author(s):  
Marilia A. Ramos ◽  
Alex Almeida ◽  
Marcelo R. Martins

Abstract Several incidents in the offshore oil and gas industry have human errors among core events in incident sequence. Nonetheless, human error probabilities are frequently neglected by offshore risk estimation. Human Reliability Analysis (HRA) allows human failures to be assessed both qualitatively and quantitatively. In the petroleum industry, HRA is usually applied using generic methods developed for other types of operation. Yet, those may not sufficiently represent the particularities of the oil and gas industry. Phoenix is a model-based HRA method, designed to address limitations of other HRA methods. Its qualitative framework consists of three layers of analysis composed by a Crew Response Tree, a human response model, and a causal model. This paper applies a version of Phoenix, the Phoenix for Petroleum Refining Operations (Phoenix-PRO), to perform a qualitative assessment of human errors in the CDSM explosion. The CDSM was a FPSO designed to produce natural gas and oil to Petrobras in Brazil. On 2015 an explosion occurred leading to nine fatalities. Analyses of this accident have indicated a strong contribution of human errors. In addition to the application of the method, this paper discusses its suitability for offshore operations HRA analyses.


Author(s):  
B. J. KIM ◽  
RAM R. BISHU

Human error is regarded as a critical factor in catastrophic accidents such as disasters at nuclear power plants, air plane crashes, or derailed trains. Several taxonomies for human errors and methodologies for human reliability analysis (HRA) have been proposed in the literature. Generally, human errors have been modeled on the basis of probabilistic concepts with or without the consideration of cognitive aspects of human behaviors. Modeling of human errors through probabilistic approaches has shown a limitation on quantification of qualitative aspects of human errors and complexity of attributes from circumstances involved. The purpose of this paper is to investigate the methodologies for human reliability analysis and introduce a fuzzy logic approach to the evaluation of human interacting system's reliability. Fuzzy approach could be used to estimate human error effects under ambiguous interacting environments and assist in the design of error free work environments.


JUMINTEN ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 47-58
Author(s):  
Vensa Aldian Alfano ◽  
Rusindiyanto Rusindiyanto

Kesalahan manusia (human error) memiliki keterkaitan dengan tujuan dari analisis keandalan manusia (Human Reliability Analysis). Kecelakaan kerja pada PG Rejo Agung Baru Madiun sebagian besar disebabkan oleh banyak faktor salah satunya ialah kelalaian manusia (human error). SHERPA merupakan salah satu metode untuk menganalisa terjadinya human error dengan menggunakan input hirarki task level dasar. Metode HEART adalah teknik yang digunakan dalam bidang penilaian keandalan manusia, untuk tujuan mengevaluasi kemungkinan kesalahan manusia terjadi diseluruh penyelesaian tugas tertentu. Fungsi utama proses perhitungan dengan metode HEART adalah untuk mengelompokkan task kedalam kategori generalnya dan nilai level nominalnya untuk human unreliability sesuai dengan tabel HEART Generic Task. Hasil penelitian menunjukkan bahwa hasil rekapitulasi nilai HEP untuk semua task yang menyebabkan error yaitu sebesar 0,2718 hasil ini menunjukkan bahwa probabilitas error yang dilakukan operator sebesar 27,18% dan terdapat 2 nilai HEP yang terbesar yaitu pada task 2.2 memanaskan nira hingga suhu tertentu dengan nilai HEP sebesar 0,952557 dan pada task 6.3 pengukuran gas menggunakan parameter PH dengan nilai HEP sebesar 0,849728.


Safety ◽  
2018 ◽  
Vol 4 (3) ◽  
pp. 39 ◽  
Author(s):  
Geir-Ove Strand ◽  
Cecilia Haskins

Human reliability analysis (HRA) has become an increasingly important element in many industries for the purpose of risk management and major accident prevention; for example, recently to perform and maintain probabilistic risk assessments of offshore drilling activities, where human reliability plays a vital role. HRA experience studies, however, continue to warn about potential serious quality assurance issues associated with HRA methods, such as too much variability in comparable analysis results between analysts. A literature review highlights that this lack of HRA consistency can be traced in part to the HRA procedure and a lack of explicit application of task analysis relevant to a wide set of activity task requirements. As such, the need for early identification of and consistent focus on important human performance factors among analysts may suffer, and consequently, so does the ability to achieve continuous enhancements of the safety level related to offshore drilling activities. In this article, we propose a method that clarifies a drilling HRA procedure. More precisely, this article presents a novel method for the explicit integration of a generic task analysis framework into the probabilistic basis of a drilling HRA method. The method is developed and demonstrated under specific considerations of multidisciplinary task and well safety analysis, using well accident data, an HRA causal model, and principles of barrier management in offshore regulations to secure an acceptable risk level in the activities from its application.


2021 ◽  
Vol 11 (1) ◽  
pp. 59-65
Author(s):  
Satria Bagus Shaputra Satria ◽  
Nuzulia Khoiriyah ◽  
Wiwiek Fatmawati

Abstrak, Daftar kasus kecelakaan kerja di galagan kapal yang terjadi selama 8 tahun terakhir dengan jumlah kasus tertinggi pada proses pekerjaan grinding dan welding. Kasus kecelakaan kerja tersebut disebabkan oleh kesalahan manusia atau human error. Pada penelitian ini menggunakan pendekatan Cogitive Reliability and Error Analysis Method (CREAM) untuk memprediksi dan mengurangi terjadinya human error. Pada metode ini dilakukan dengan dua cara yaitu basic method yang berfungsi untuk hanya mendapatkan nilai probabilitas kegagalan secara umum, sedangkan extend method berfungsi untuk mendapatkan nilai probabilitas kegagalan kognitif pada setiap task. Hasil penelitian menunjukkan bahwa faktor yang menurunkan keandalan operator dan mempengaruhi timbulnya human error pada operator grinding dan welding adalah faktor kondisi pekerjaan dan waktu dalam hari saat pekerjaan berlangsung. Nilai probabilitas error tertinggi pada proses pekerjaan grinding dan welding terdapat pada aspek kognitif interpretation, dengan masing-masing nilai CFP pada proses grinding yaitu sebesar 0,024 dan pada proses welding 0,006. Usulan perbaikan untuk mengurangi probabilitas human error pada proses grinding dan welding adalah pada kondisi pekerjaan dengan membutuhkan penerangan yang cukup saat bekerja didalam kapal, membutuhkan sirkulasi udara yang baik saat bekerja didalam kapal, dan membutuhkan peningkatan pengawasan kepada operator agar operator dapat bekerja dengan aman dan disiplin dalam bekerja. Serta membutuhkan pengoptimalan manajemen waktu dalam bekerja, agar operator dapat bekerja dengan baik dan memiliki waktu istirahat yang cukup.   Kata kunci : Human Error, Cogitive Reliability and Error Analysis Method (CREAM), Human Realiability Analysis (HRA).


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