Better analytical understanding leads to better predictions
Nagoo & Associates LLC was launched in June 2018 with the vision of driving practical multiphase flow simulation technology towards its most reliably predictive state through simpler, faster, properly validated, science-oriented and digital disruptive analytical approaches. The transformative, fundamental analytical insights gained from the pioneering research of Anand represents a vital breakthrough in averaged multiphase pipe flow modeling. His decisive contribution is a self-consistent, simple-to-compute, properly validated and reliable quantitative theory that models these very complex systems - the Pipe Fractional Flow Theory© - which are the foundational principles underlying the Multiphase Analytical Prediction Engine (MAPe) code. The discovery of a set of analytical, macroscopic, deterministic models that govern the collective (net) behavior of multiphase flow mixtures along closed conduits over a wide range of publicly-verifiable conditions is what differentiates Anand's research and methods from all prior averaged-equations methods in multiphase flow. It is the foundation from which he is continuing to break old paradigms and long-held beliefs about the limitations of averaged (1D) multiphase flow modeling, correct poor modeling practices and transform field-scale wellbore and pipeline multiphase flow simulation.
True prediction means minimal artificial variables and fudge factors (minimal uncertainties)
Beyond the speed, answer reliability and numerical robustness that analytical calculations bring, the clear value of MAPe's unique analytical capabilities to clients is that true prediction of multiphase flows is now possible, i.e., a huge reduction in uncertainties that arise from avoiding numerous artificial multiphase flow tuning variables and parameters (artificial quantities that cannot be objectively measured) designed to match lab or field data.
A multi-talented leader and multi-disciplinary engineer
Anand conducted his doctoral research in multiphase pipe flow from 2007 to 2013 at the University of Texas at Austin and has been involved in pipe flow research since 2001, first at Penn State University and later from 2004 to 2006 at Stanford University. In his doctoral research, Anand discovered several new insights about averaged multiphase flow and translated those insights mathematically to form the Pipe Fractional Flow Theory© - the world's first unified analytical multiphase pipe flow model. Simultaneously, throughout this time, Anand systematically compiled the world’s largest and most diverse collection of published, cross-referable averaged multiphase pipe flow data (ANNA worldwide database). This global database consists of mostly carefully-controlled measurements in fully-developed and developing flow systems from over 110 different laboratories across different disciplines, and was assembled in order to validate the core principles of the Pipe Fractional Flow Theory©. Beyond his collection of high-quality, verifiable, published lab and field datasets from the literature, Anand has additionally amassed (and continues to grow) a very large consulting database of field production data from numerous production optimization, virtual multiphase flow metering, well and pipeline multiphase flows and horizontal well artificial lift studies. Anand holds a B.Sc. (Hons.) in mechanical engineering from The University of the West Indies, a B.Mus. (Hons.) in classical indian music from The Bharatiya Vidya Sansthaan, M.S. degrees in petroleum and natural gas engineering from The Pennsylvania State University and Stanford University, and a Ph.D. in chemical engineering from The University of Texas at Austin. He started his first job in the oilfield as a wireline field engineer in 1998 and has since gained 11 years of academic research and teaching experience and 9 years of asset-team, R&D and consulting experience in various engineering roles with oilfield service providers, national and multinational oilfield operators. Anand is married to Jacqueline and enjoys playing soccer, cricket and teaching coding and entrepreneurship to his two boys, AJ and Jax.
