1. www.eni.it Steps towards low-risk pipeline inspection Alberto Di Lullo Flow Assurance Engineering Technologies Manager

2. e-splora™: eni Systems for Pipeline Low Risk Assessment  Detect major restrictions before pigging  Detect and localize ID changes Help planning/following cleaning operations  Detect and localize pipe deformations (“caliper”) and estimate inner wall roughness  Measure pipeline thickness (basic MFL functionality) Smart Foam Pigs – Objectives Ready Field tested Patented Objective: Mitigate the risk inherent in pigging by transforming low-risk pigs into information-gathering tools Pigging “Roadmap” Line never inspected  e-splora + cleaning  if appropriate, ILI

3. e-splora™ – eni Systems for Pipeline Low Risk Assessment Tool nameFeaturesStatus PRIMEFLO Non invasive detection and localization of obstructions/restrictions in single phase lines Patented Routinely used SFP/SPP Smart Foam/Polly Pig Presence and localization of internal deposits Patented Routinely used SkeSP Skeleton Smart Pig No removal of liquids from gas lines Patented Under final redesign CaliSP Caliper Smart Pig Pipe deformations Signs of internal corrosion Patented Prototype Field tested Under final redesign

4. Smart Foam Pig – Risk mitigation Foam/Polly Pigs normally pose very low risk due to:  Negligible/reduced capability to displace solids  Foam pigs can negotiate restricted pipeline regions  If blocked, can be broken by small/limited pressure differences Even foam pigs may be risky or pose operational problems  Possible presence of almost complete restrictions  PRIMEFLO  Possible displacement of huge amounts of liquids  SkeSP

5. Tiny sensors with memory and battery embedded in plastic containers Prototype of “emergency” payload in a container suitable to travel by itself to the pig receiver Smart Foam Pig – Sensor installation

6. Sensors installed with plastic holders screwed in the pig Bigger sensor with 3-axial accelerometer Sensors simply inserted in the pig by drilling a small hole

7. Distance [m] Flow Direction Example – 16” Oil pipeline – Pigging of the last 170 km section Wafa-Mellitah 16" Oil line 0 100 200 300 400 500 600 700 800 050'000100'000150'000200'000250'000300'000350'000400'000450'000500'000550'000 Distance from Wafa [m] Elevation Profile [m] Elevation profileBlock valvesPig stationsID changes ID = 385.8 mm Th = 10.3 mm ID = 382.6 mm Th = 11.9 mm ID = 371.4 mm Th = 17.5 mm Direction of flow 348000m501800m Pigged section 169km

8. Presence of deposits Isolation Valves Inner Diameter Change Peaks due to Valves ΔP across Pig ΔP [bar] Distance [m] Example – Measured ΔP across pig and pipeline profile Delta P across the pig

9. Peaks due to single welds 12m ΔP across Pig ΔP [bar] Timeline [s] Example – Measured ΔP across pig – Zoom Delta P across the pig

10. Temporary stop on an old pipeline repair Pressure [bara] Timeline [s] Example – 10” gas line – Measured P behind pig P at rear of the pig

11. Caliper and roughness transducers (several thousands samples/s) The new version is improved in several ways to minimize operational risks and increase performance CaliSP – Caliper and Roughness estimation Acquisition system in a plastic container

12. Caliper and roughness transducers (several thousands samples/s) The pig is lightweight and is pushed by the gas. The liquids remain in the line because the pig is “open” SkeSP – Gas lines with big liquid accumulations The technology is the same as the Smart Caliper Pig

13. Start240007200096000 Number of repeated oscillations Caliper arms response to repeated deformation

14.  Reduce pig risk by detecting major restrictions (PRIMEFLO)  Acquire information since the first pigging operations  As much as possible, reduce operational impact:  Avoid problems in successive pigging operations  Reduce arrival of liquids at the receiving plant Notes:  Routinely applied / under field test / under final design  Generally, good acceptance from operators  Patented e-splora™ – Conclusions eni proprietary toolbox to minimize pigging risk: