Why Can t I get my Reserves Right?

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Transcription:

Why Can t I get my Reserves Right? Mark Hayes Head of Reservoir Engineering RPS Energy

Outline Scene set Infill Drilling Small Developments Performance What s going on? Best Practice Suggestions 2

Infill Drilling & Small Developments Many Companies have post investment review process for large developments (production, capex, schedule, value etc ) Variety of third party groups (IPA) also track large E&P projects Published data suggesting in-general Reserves growth for large fields Dromgoole - Petroleum Geoscience 1997 Watkins MIT, Aberdeen 2002 BUT changing Projects & Price! and the smaller stuff? Mature north sea infill drilling Small developments (1 5 wells) 3

Database Mature infill drilling OR Small Developments (1-5 wells) Data at project approval level ~ 10 years of data ~ 85 wells ~ 40 projects Multiple countries, operators, oil & gas, Sandstone & carbonates All offshore

current post drill 2P mboe gross 100 10 Mix of single wells & programs General trend to under deliver STILL!!!! ~ 65 % of forecast 4 dry holes in 40 infill wells ~ 10 % Pre & post drill mmboe gross General shortfall on average Some dry Holes not plotted y = 0,6525x Best fit slope 1:1 slope 1 1 10 100 predicted pre drill

2.5 2 2P ratio vs wells in program Portfolio effect as anticipated More wells in program = less uncertainty Some outright dry holes 1.5 1 0.5 0 0 2 4 6 8 10 12 wells in program

2.5 2 reserves ratio average trends vs time no improvement with time? ratios generally below 1:0 several recent dry holes 1.5 1 0.5 0 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 8

Outline Scene set Infill Drilling Small Developments Performance What s going on? Best Practice Suggestions 9

Infill & Small Developments reserves shortfall pre / post drill 2P reserves ratio = 0.65 ad hoc single well infill programs most fragile No trends by oil / gas / infill etc not getting any better? (Petrel, Mepo,,,,,etc) Multi phase programs better (benchmarking?) Many sub economic at sanction prices! Reflections Should we continue to rely on commodity growth to rescue our projects? 10

Life-of-Field Reserves Changes: All North Sea Historical Review of N Sea Fields Mainly oil fields note data is metric Weak + trend with field size Range 50 % to + 190 %! Small field smaller (on average) Big field bigger (on average) P10 P50 P90 n all 0.48 1.17 2.9 166 <100 mln cu.m 0.44 1.09 2.8 149 <50 mln cu.m 0.4 1.09 2.5 137 <25 mln cu.m 0.34 1.1 2.1 112 <10 mln cu.m 0.3 0.97 1.9 78

Historical Uncertainty ranges Life-of-Field Reserves Changes: All data P10 P90-50 % to + 190 % Small fields P10 P90-70 % to + 90 % General ranges seen at sanction +/- 25 to 40 %? Observations Big fields generally get bigger / small generally smaller... WHY? Stage Big Field (> 100 mmboe) Small Field (< 50 mmboe) APPRAISAL DEVELOP OPERATE Appraised to commerciality threshold not full potential (undrilled Fault Blocks / Horizons) Sanction Optimization stops early as assets meet economic thresholds easily Often Platform based - lower cost infill opportunities Rich data base allows good model calibration Robust to well failures / multiple wells in a reservoir offset drainage Often under appraised (economics won t support) Drive to meet economic targets lead to reserves & value creep above true P50 Often Subsea higher well intervention cost Hard to recover Reservoir Models never really mature to be robust Small well count fragile to well failures Longer field life rising commodity price backdrop / technology development time to learn & optimize.. Short Field life missed opportunities only 1 chance! 12

Behavioural Challenges In Decision Making Chapter 7 of --------------> System 1 / System 2 Intuitive / reasoning Availability (Vividness) Anchoring Overconfidence Group Bias 13

Example Are the blocks A & B different OR the same colour? 14

Outline Scene set Infill Drilling Small Developments Performance What s going on? Best Practice Suggestions 15

Scenario Modelling Infill Wells Was the HC ever there (reservoir, charge)? Is it there now? (depletion & sweep)? Is it going to be productive at economic rates? Try to isolate the relevant uncertainty? Best Practice Examples Manage risk & downside? Embrace PEER Review Benchmarking (easy / quick / free ish!?) Reflect on unnecessary complex workflows Determine min, max then base not base plus minus. Watch out for small fields & single well programs with no benchmark Watch out for behavioural bias. Think how you ask questions!!! Organizations need to Value a good NO decision 16