Control of work, a significant element of HSE management system at CBM, Shahdol, MP, is one of the major challenges in term of planning, communication, hazard identification, risk control and safe execution of work.
Challenges associated with Implementation of PTW system at 229 wells, spread in an area of 500 KM2, is quite different and unique in terms of planning, supervision, geographical spread, work efficiency and assurance methodology. Limitations of different permits (Confined space entry, hot work of high risk, and line break of high risk) for permit acceptors and receivers, parallel supervision at different well sites, transportation, and level of permit issuing authorities, warrant a scientific method to be adopted for optimization of numbers of permits, under responsibility of individuals.
In conventional E&P oil and gas fields, the numbers of wells are relatively lesser and in downstream, operation is more or less confined inside boundary walls. CBM activities are wide spread and with large number of wells/assets and pipelines, the activities are around inhabitations and closely interact with villagers, flora and fauna.
Effective control of work at such widely spread large number of assets in CBM is a herculean task and has to be supervised by a limited number of personnel.
It is appreciated that each individual has a physical, mental and psychological limitation in effectively and efficiently controlling work activities.
The detailed paper describes, the mathematical method for optimization of manpower resources for adequate control of job in terms of:
What should be categories of permits based on risk involved in work?
How many types and quantity of permits should be issued by one individual with variation of well sites (geographical spread)?
How many types and quantity of permits should be received by an individual?
How many types and quantity of permits can be supervised by area operators?
What should be the level of issuing authority for different categories of permit (hot work-high risk, line break of high risk)?
The mathematical method for optimization will consider the following factors:
Load factor based on risk involved in the work.
Quantity of permits of different types that can be effectively supervised by an individual.
Geographical distance between/among the work locations.
Constraint factor of time of work (Work during natural light or during silent hours).
On the basis of above factors, a mathematical and logical formula has been developed which gives a quantitative figure called total permit load on an individual (permit issuer and acceptor). Base on capability of people, an upper mathematical limit of total permit load has been fixed. This mathematical formula provides ease in limiting the number of permit with risk involved and eventually will control the work at well sites.