Drilling
When a drilling project is commenced, two goals are governing all aspects of it. The first is to realize the well in a safe manner (personal injuries, technical problems) and according to its purpose, the second one is to complete it with minimum cost. Thereto the overall costs of the well during its lifetime in conjunction with the field development aspects shall be minimized. This optimization may influence where the well is drilled (onshore - extended reach or offshore above reservoir), the drilling technology applied (conventional or slim-hole drilling) as well as which evaluation procedures are run to gather subsurface information to optimize future wells.
Over the past several decades, various methods have been proposed to evaluate drilling cost and complexity, but because of the large number of factors and events that impact drilling performance, predictive models are difficult to construct. Quantifying well costs and complexity is challenging, due either to restrictions on data collection and availability, constraints associated with modeling, or combinations of these factors. Drill rates are often constrained by factors that the driller does not control and in ways that cannot be documented. The Joint Association Survey and Mechanical Risk Index the most popular methods used to evaluate drilling cost and complexity and specialized indices have been introduced to characterize are the complexity of drilling directional and extended reach wells. Recently, the concept of Mechanical Specific Energy has been used to obtain a more objective assessment of drilling efficiency. The purpose of this paper is to review the primary methods used to assess drilling cost and complexity. The foundational basis of each approach will be described and a critical assessment of model assumptions provided.
Drilling a hole in the ground in the search for or production of oil and gas is a complex and multifaceted activity that is subject to significant sources of variability. Although the physics of drilling is the same everywhere throughout the world, geologic conditions, contractor experience, equipment availability, well specification, and numerous other factors can lead to a wide range in drilling performance. Cost estimation is difficult and benchmarking efforts are often unreliable. Performance comparisons are mostly done on a well-by-well, actual-versus-plan basis, or seek to correlate costs to performance indicators, metrics metrics Managed care A popular term for standards by which the quality of a product, service, or outcome of a particular form of Pt management is evaluated. To evaluate the differences that exist in drilling wells and to compare costs, it is necessary to establish statistically reliable relationships between performance metrics Performance metrics are measures of an organizations activities and performance. Performance metrics should support a range of stakeholder needs from customers, shareholders to employees and the factors that impact drilling.
Drilling of oil & gas wells have many techniques and technologies. NoDoC provides the cost evaluation models for each technology based on the various parameters and variables. These drilling cost models have been developed during the last 5 years and examined in more than 55 oil & gas well drilling costing with the accuracy not more than % 22.5. it addresses the models are working properly with desired charactristics and aims.
Over the past several decades, various methods have been proposed to evaluate drilling cost and complexity, but because of the large number of factors and events that impact drilling performance, predictive models are difficult to construct. Quantifying well costs and complexity is challenging, due either to restrictions on data collection and availability, constraints associated with modeling, or combinations of these factors. Drill rates are often constrained by factors that the driller does not control and in ways that cannot be documented. The Joint Association Survey and Mechanical Risk Index the most popular methods used to evaluate drilling cost and complexity and specialized indices have been introduced to characterize are the complexity of drilling directional and extended reach wells. Recently, the concept of Mechanical Specific Energy has been used to obtain a more objective assessment of drilling efficiency. The purpose of this paper is to review the primary methods used to assess drilling cost and complexity. The foundational basis of each approach will be described and a critical assessment of model assumptions provided.
Drilling a hole in the ground in the search for or production of oil and gas is a complex and multifaceted activity that is subject to significant sources of variability. Although the physics of drilling is the same everywhere throughout the world, geologic conditions, contractor experience, equipment availability, well specification, and numerous other factors can lead to a wide range in drilling performance. Cost estimation is difficult and benchmarking efforts are often unreliable. Performance comparisons are mostly done on a well-by-well, actual-versus-plan basis, or seek to correlate costs to performance indicators, metrics metrics Managed care A popular term for standards by which the quality of a product, service, or outcome of a particular form of Pt management is evaluated. To evaluate the differences that exist in drilling wells and to compare costs, it is necessary to establish statistically reliable relationships between performance metrics Performance metrics are measures of an organizations activities and performance. Performance metrics should support a range of stakeholder needs from customers, shareholders to employees and the factors that impact drilling.
Drilling of oil & gas wells have many techniques and technologies. NoDoC provides the cost evaluation models for each technology based on the various parameters and variables. These drilling cost models have been developed during the last 5 years and examined in more than 55 oil & gas well drilling costing with the accuracy not more than % 22.5. it addresses the models are working properly with desired charactristics and aims.
