DE0300 : Integration of Rocks, Log & Test Data

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 

Well logs have become an indispensable tool for evaluating hydrocarbon reservoirs.  But, taken alone, they are not the complete answer; indeed, they sometimes can be very misleading. This course will show you how to avoid the common errors in formation evaluation by collecting and integrating all the data you need into a reliable model of your reservoir. How can you identify ineffective porosity? Confronted by shale sand, what’s the first question you should ask? Which shale sand equation should you use? What does a karstic reservoir look like? How can it be evaluated? Is your value of porosity reliable? Is the water saturation correct? Can you be sure of your fluid contacts? The instructor uses clear and easy-to understand power-point slides and loads of practical examples, livened with entertaining anecdotes from a lifetime’s experience in the oil-patch. 

Which tools to use to evaluate your reservoir, and what their limitations are. How to combine all the information—from all your wells—using methods which optimize the data you need to model your reservoir and estimate reserves: porosity, saturation, net pay, permeability and fluid distribution. When you can use core data to calibrate your logs – and when you can’t. You will work on examples from a wide variety of formation types—shale sands, granular carbonates, karsts—from all over the world. You will learn how to use modern high-tech methods—FMS, MDT, NMR, LWD—and when they are a waste of time and money. 
 

This course will teach you how to evaluate reservoirs and quickly identify flawed results. Robust, minimum error reserves are achieved by a logical, systematic integration of all relevant data. Interpretation is cost-effective compared with data acquisition or development mistakes and essential for the complex reservoirs and marginal fields being re-evaluated today. Systematic integration can often replace the need to run logs and explain apparent data conflicts. It provides the right answer faster, minimizes uncertainty and precludes criticism. By contrast stand-alone log analysis often results in bad economic decisions and bad personal reputations. 

 

Further, this course demonstrates through an experienced consultant how robust answers are achieved by the integration of diverse data. Basic economic questions are addressed head-on by a disciplined, logical process which optimizes the interpretation of porosity, permeability, saturation, net pay, and fluid contacts - the basis of reserves. Low contrast low resistivity pay (LCLRP) classics and carbonates are evaluated by simple integration techniques which surpass stand-alone log analysis. LWD, wireline, NMR, image logs, routine core, special core and MDTs are brought innovatively together to interpret difficult exploration wells, improve reservoir simulation and typically increase reserves. The seismic petrophysics work flow to project these results into inter-well regions is then reviewed. This course is a condensed packet of powerful integration techniques and it will fully integrate data sets to understand reservoir performance.