WHY OIL & GAS PROJECTS LOOK SOLID BUT FAIL Technical Blind Spots Engineers Underestimate Why do technically rigorous oil and gas projects fail at predictable rates? This book reveals what post-investment reviews never capture: the systematic patterns that cause projects to deliver 60-70% of forecast despite peer-reviewed models, experienced teams, and billion-dollar budgets. Inside, you'll discover: The P50 myth — Why "median" forecasts are treated as targets, guaranteeing 50% of projects "underperform" Integration illusion — How coupling reservoir-wellbore-surface models creates false precision while missing critical interfaces Organizational silence — The unspoken process where engineers learn which forecasts get approved and which get sent back Capital discipline detachment — Why hurdle rates drive forecast optimization rather than serving as value screens Interface gaps — The space between subsurface assumptions and surface design where no discipline owns the question: "What if we're wrong?" Predictable surprises — Failure modes that occur in 50-70% of projects yet are treated as "unforeseen" every time This book is different. No best practices. No 12-step frameworks. No claims that better processes solve systemic problems. Instead: recognition. Pattern documentation. An honest examination of why projects look solid in board rooms but struggle in operations—not because of bad engineering, but because the system rewards forecast optimization over forecast accuracy. Who should read this: • Reservoir engineers tired of being asked to "sharpen the pencil" on reserves estimates • Production engineers who inherit surface facilities that can't handle actual fluid properties • Asset managers caught between realistic forecasts and approval thresholds • Technical managers who watch the same patterns repeat across projects • Investment committees wondering why 60% of approved projects underperform • Students and early-career professionals learning the real dynamics of project development What you will find: • 12 chapters documenting how subsurface precision, surface assumptions, economic detachment, and organizational pressure interact to produce underperformance • 5 technical appendices with diagnostic frameworks, checklists, and quantitative indicators • Full case studies reconstructed from composite industry data showing how $400M+ value destruction occurs through interface fail
