Driving operational performance in oil and gas
ey-driving-operational-performance-in-oil-and-gas
ey-driving-operational-performance-in-oil-and-gas
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Causes of <strong>in</strong>efficient operat<strong>in</strong>g <strong>performance</strong><br />
W hi l e m an y o rg an i z at i o n s are s u cce e d i n g i n s o m e cri t i cal o p e rat i o n al are as o f f o cu s , f e w , i f an y , are e f f e ct i v e l y m an ag i n g<br />
them all. Industry analysis suggests <strong>operational</strong> <strong>performance</strong> gaps beg<strong>in</strong> at the strategic level <strong>and</strong> carry through to a specific<br />
process breakdown with<strong>in</strong> assets. In addition, operations functions often lack cont<strong>in</strong>uous improvement efforts target<strong>in</strong>g these<br />
<strong>in</strong>efficiencies <strong>and</strong> failure modes.<br />
Below, we outl<strong>in</strong>e the most common key factors beh<strong>in</strong>d <strong>operational</strong> <strong>in</strong>efficiencies.<br />
Strategic factors<br />
1 2<br />
N o n - i n t e g r a t e d b u s i n e s s<br />
a n d a c t i v i t y p l a n n i n g<br />
• Lack of leadership sponsorship<br />
an d m at u ri t y<br />
• I n e f f e ct i v e s t rat e g y an d<br />
framework<br />
• Difficulties translat<strong>in</strong>g strategy<br />
i n t o o p e rat i o n s<br />
L a c k i n g a n e f f e c t i v e<br />
o p e r a t i n g m o d e l<br />
• Siloed design architecture<br />
• Unclear decision governance<br />
• Insufficient <strong>performance</strong><br />
m an ag e m e n t<br />
• lack of st<strong>and</strong>ardization, policy<br />
an d e n f o rce m e n t<br />
T act i cal f act o rs<br />
1 2 3<br />
M i s m a n a g e d s u p p l i e r a n d<br />
c o n t r a c t o r r e l a t i o n s h i p s P o o r a s s e t r e l i a b i l i t y a n d i n t Inefficient e g r i t y cost management<br />
• Prequalification <strong>and</strong> contract<br />
e x e cu t i o n n o t ro b u s t<br />
• L i m i t e d v i s i b i l i t y t o co n t ract o r<br />
<strong>and</strong> supplier risks<br />
• Poor field management <strong>and</strong><br />
p e rf o rm an ce an al y s i s<br />
• Assumption of project uniqueness<br />
• Discount<strong>in</strong>g predictive<br />
ai n t e n an ce f o r s che d u l e d<br />
ai n t e n an ce<br />
• P o o r s hu t d o w n an d t u rn aro u n d<br />
m an ag e m e n t<br />
• I n e f f e ct i v e o p e rat i o n al re ad i n e s s<br />
p l an n i n g<br />
• O v e r- ab u n d an t m<br />
act i v i t i e s<br />
ai n t e n an ce<br />
• Insufficient data analytics<br />
• Unaware of cost drivers across<br />
v al u e chai n an d i n t e rd e p e n d e n cy<br />
• Lack of production management<br />
o p t i m i z at i o n<br />
• Inadequate bus<strong>in</strong>ess component<br />
m o d e l i n g<br />
1 0