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Xiangyu Wang - One of the best experts on this subject based on the ideXlab platform.
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Cost and environmental impact estimation methodology and potential impact factors in offshore oil and Gas Platform decommissioning: A review
Environmental Impact Assessment Review, 2021Co-Authors: Yi Tan, Jack Chin Pang Cheng, Jun Wang, Boya Jiang, Yongze Song, Xiangyu WangAbstract:Abstract Platform decommissioning decision making is a major issue as many of the existing offshore oil and Gas Platforms (OOGPs) require to be decommissioned. The cost and environmental impact are two main criteria for OOGP decommissioning. This paper reviews OOGP decommissioning factors and the current estimation methodologies of decommissioning cost and environmental impact. Six factors are identified: (1) Platform types and complexity, (2) decommissioning options, (3) technical approaches, (4) circumstances, (5) regulations, and (6) strategies, followed by a detailed review of the estimation methodologies of cost and environmental impact. Descriptive statistics are common cost estimation, together with standard-based and index-based cost estimations. For environmental impact estimation, qualitative methods like ranking decommissioning options based on expert option, and quantitative methods like emission calculation based on equipment utilization, duty cycles, and emission factors are commonly used. The findings of this paper indicate that current OOGP decommissioning databases are incomplete, leading to inaccurate and subjective decommissioning cost estimation, and incomplete environmental impact estimation. Recommendations include integrating 3D information modeling with cost indexing to estimate cost, and with life cycle assessment to estimate environmental impact. OOGP decommissioning regulations should include strategies and rules for estimation, and formulating a roadmap with a long-term perspective is necessary.
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a semi automated approach to generate 4d 5d bim models for evaluating different offshore oil and Gas Platform decommissioning options
Visualization in Engineering, 2017Co-Authors: Jack Chin Pang Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner.
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A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and Gas Platform decommissioning options
SpringerOpen, 2017Co-Authors: Jack C. P. Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Abstract Background Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. Methods This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. Results In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. Conclusions The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner
Yi Tan - One of the best experts on this subject based on the ideXlab platform.
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Cost and environmental impact estimation methodology and potential impact factors in offshore oil and Gas Platform decommissioning: A review
Environmental Impact Assessment Review, 2021Co-Authors: Yi Tan, Jack Chin Pang Cheng, Jun Wang, Boya Jiang, Yongze Song, Xiangyu WangAbstract:Abstract Platform decommissioning decision making is a major issue as many of the existing offshore oil and Gas Platforms (OOGPs) require to be decommissioned. The cost and environmental impact are two main criteria for OOGP decommissioning. This paper reviews OOGP decommissioning factors and the current estimation methodologies of decommissioning cost and environmental impact. Six factors are identified: (1) Platform types and complexity, (2) decommissioning options, (3) technical approaches, (4) circumstances, (5) regulations, and (6) strategies, followed by a detailed review of the estimation methodologies of cost and environmental impact. Descriptive statistics are common cost estimation, together with standard-based and index-based cost estimations. For environmental impact estimation, qualitative methods like ranking decommissioning options based on expert option, and quantitative methods like emission calculation based on equipment utilization, duty cycles, and emission factors are commonly used. The findings of this paper indicate that current OOGP decommissioning databases are incomplete, leading to inaccurate and subjective decommissioning cost estimation, and incomplete environmental impact estimation. Recommendations include integrating 3D information modeling with cost indexing to estimate cost, and with life cycle assessment to estimate environmental impact. OOGP decommissioning regulations should include strategies and rules for estimation, and formulating a roadmap with a long-term perspective is necessary.
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a semi automated approach to generate 4d 5d bim models for evaluating different offshore oil and Gas Platform decommissioning options
Visualization in Engineering, 2017Co-Authors: Jack Chin Pang Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner.
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A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and Gas Platform decommissioning options
SpringerOpen, 2017Co-Authors: Jack C. P. Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Abstract Background Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. Methods This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. Results In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. Conclusions The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner
Yongze Song - One of the best experts on this subject based on the ideXlab platform.
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Cost and environmental impact estimation methodology and potential impact factors in offshore oil and Gas Platform decommissioning: A review
Environmental Impact Assessment Review, 2021Co-Authors: Yi Tan, Jack Chin Pang Cheng, Jun Wang, Boya Jiang, Yongze Song, Xiangyu WangAbstract:Abstract Platform decommissioning decision making is a major issue as many of the existing offshore oil and Gas Platforms (OOGPs) require to be decommissioned. The cost and environmental impact are two main criteria for OOGP decommissioning. This paper reviews OOGP decommissioning factors and the current estimation methodologies of decommissioning cost and environmental impact. Six factors are identified: (1) Platform types and complexity, (2) decommissioning options, (3) technical approaches, (4) circumstances, (5) regulations, and (6) strategies, followed by a detailed review of the estimation methodologies of cost and environmental impact. Descriptive statistics are common cost estimation, together with standard-based and index-based cost estimations. For environmental impact estimation, qualitative methods like ranking decommissioning options based on expert option, and quantitative methods like emission calculation based on equipment utilization, duty cycles, and emission factors are commonly used. The findings of this paper indicate that current OOGP decommissioning databases are incomplete, leading to inaccurate and subjective decommissioning cost estimation, and incomplete environmental impact estimation. Recommendations include integrating 3D information modeling with cost indexing to estimate cost, and with life cycle assessment to estimate environmental impact. OOGP decommissioning regulations should include strategies and rules for estimation, and formulating a roadmap with a long-term perspective is necessary.
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a semi automated approach to generate 4d 5d bim models for evaluating different offshore oil and Gas Platform decommissioning options
Visualization in Engineering, 2017Co-Authors: Jack Chin Pang Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner.
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A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and Gas Platform decommissioning options
SpringerOpen, 2017Co-Authors: Jack C. P. Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Abstract Background Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. Methods This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. Results In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. Conclusions The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner
Hochang Jang - One of the best experts on this subject based on the ideXlab platform.
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prevention of hydrate plugging by kinetic inhibitor in subsea flowline considering the system availability of offshore Gas Platform
Journal of Industrial and Engineering Chemistry, 2020Co-Authors: Isaias Inacio Quizito Afonso, Hochang JangAbstract:Abstract This paper presents a new methodology to apply a kinetic hydrate inhibitor (KHI) to prevent hydrate plugging considering the system availability of the topside system in an offshore Gas Platform. The proposed methodology comprises three steps: the system availability analysis by Monte Carlo simulation, subsea multiphase flow simulation to evaluate the risk of hydrate plugging, and application of KHI to prevent hydrate plugging. The topside system availability and its longest downtime were estimated to be 99.3% and 47 h, respectively. As a result of the multiphase flow simulation, the temperature in the flowline decreases from 40 °C to 5 °C during the system downtime, creating the condition for hydrate formation. Thus, polyvinylcaprolactam (PVCap) was used to delay hydrate plugging for a period longer than the cooldown time. As a result, the injection rate of 0.75 wt% of PVCap was required 0.6 times per year to prevent hydrate plugging, while 30 wt% of mono ethylene glycol (MEG) was required under the same hydrate formation condition. This approach provides the guideline for KHI injection according to the system downtime and flowing performance in subsea Gas flowline as a risk management strategy to mitigate operation risks in the offshore Gas Platform.
Jack Chin Pang Cheng - One of the best experts on this subject based on the ideXlab platform.
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Cost and environmental impact estimation methodology and potential impact factors in offshore oil and Gas Platform decommissioning: A review
Environmental Impact Assessment Review, 2021Co-Authors: Yi Tan, Jack Chin Pang Cheng, Jun Wang, Boya Jiang, Yongze Song, Xiangyu WangAbstract:Abstract Platform decommissioning decision making is a major issue as many of the existing offshore oil and Gas Platforms (OOGPs) require to be decommissioned. The cost and environmental impact are two main criteria for OOGP decommissioning. This paper reviews OOGP decommissioning factors and the current estimation methodologies of decommissioning cost and environmental impact. Six factors are identified: (1) Platform types and complexity, (2) decommissioning options, (3) technical approaches, (4) circumstances, (5) regulations, and (6) strategies, followed by a detailed review of the estimation methodologies of cost and environmental impact. Descriptive statistics are common cost estimation, together with standard-based and index-based cost estimations. For environmental impact estimation, qualitative methods like ranking decommissioning options based on expert option, and quantitative methods like emission calculation based on equipment utilization, duty cycles, and emission factors are commonly used. The findings of this paper indicate that current OOGP decommissioning databases are incomplete, leading to inaccurate and subjective decommissioning cost estimation, and incomplete environmental impact estimation. Recommendations include integrating 3D information modeling with cost indexing to estimate cost, and with life cycle assessment to estimate environmental impact. OOGP decommissioning regulations should include strategies and rules for estimation, and formulating a roadmap with a long-term perspective is necessary.
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a semi automated approach to generate 4d 5d bim models for evaluating different offshore oil and Gas Platform decommissioning options
Visualization in Engineering, 2017Co-Authors: Jack Chin Pang Cheng, Yi Tan, Yongze Song, Xin Liu, Xiangyu WangAbstract:Offshore oil and Gas Platforms generally have a lifetime of 30 to 40 years, and Platform decommissioning is a major issue because many of the existing offshore oil and Gas Platforms are reaching the end of their service life. There are many possible options for decommissioning offshore oil and Gas Platforms, and each decommissioning option can be implemented using different methods and technologies. Therefore, it is necessary to have a clear understanding and in-depth evaluation of each decommissioning option before commencing Platform decommissioning. 4D and 5D building information modeling (BIM) has been commonly used in the building industry to analyze constructability and to evaluate different construction or demolition plans. However, application of BIM in the oil and Gas industry, especially for the Platform decommissioning process, is still limited. This paper suggests and demonstrates the application of 4D and 5D BIM technology to simulate various methodologies to realize various selected offshore Platform decommissioning options, thereby visualizing and evaluating different options, considering both the time and resources required for decommissioning process. One hundred and seventy-seven offshore Platform decommissioning options are summarized in this paper. A new approach to create multiple 4D/5D BIM models in a semi-automated manner for evaluating various scenario options of OOGP decommissioning was proposed to reduce the model creation time as current way of 4D/5D BIM model creation for each OOGP decommissioning option is time consuming. In the proposed approach, an OOGP BIM model relationship database that contains possible 4D/5D BIM model relationships (i.e. schedules for different decommissioning methods) for different parts of an OOGP was generated. Different OOGP decommissioning options can be simulated and visualized with 4D/5D BIM models created by automatically matching schedules, resources, cost information and 3D BIM models. This paper also presents an illustrative example of the proposed approach, which simulates and evaluates two decommissioning options of a fixed jacket Platform, namely Rig-to-Reef and Removal-to-Shore. As compared to the traditional approach of 4D/5D BIM model generation, the proposed semi-automated approach reduces the model generation time by 58.8% in the illustrative example. The proposed approach of semi-automated 4D/5D BIM model creation can help understand the implication of different decommissioning options as well as applied methods, detecting potential lifting clashes, and reducing 4D/5D BIM model creation time, leading to better planning and execution for the decommissioning of offshore oil and Gas Platforms. In addition, with the proposed semi-automated approach, the 4D/5D BIM model can be generated in a more efficient manner.
