ADVERTISEMENT

BHA Behavior-Prediction Model Offers Potential for Automated Analysis

A new 3D drillstring model determines the static and dynamic behavior of bottomhole assemblies (BHAs) in realistic wellbores. The modeling approach provides a prediction of the BHA’s mechanical and dynamic behavior and can be used as a planning tool for BHA design, an investigative tool for root-cause analysis, or, potentially, as a real-time optimization tool for avoiding harmful operating conditions.

Introduction

When using any model, engineers cannot forget the limits of calculation. However, they can settle for “good enough” as long as they adhere to the following two rules:

  • The results capture the general behavior of the system with respect to the parameters of interest.
  • The engineer using the results fully understands the limits of the model used to obtain them.

These rules are particularly important when considering highly nonlinear systems, such as the 3D behavior of BHAs. Nonlinearity arises in these systems from the large, coupled deflection that occurs in the downhole components as they move within the wellbore, and the frictional contact that results from the borehole wall restraining that movement. These inherent complexities have been a driving factor for continued research on the subject of BHA modeling for years. On the basis of the author’s own investigative studies and working experience, there appear to be three primary areas of focus within the study of BHA mechanics and dynamics:

  • The mechanical loading on the downhole components
  • The directional performance of various drilling assemblies
  • The dynamic response of BHAs
This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 191780-18ERM-MS, “Field Validation of a New BHA Model and Practical Case Studies in Unconventional Shale Plays, With a Framework for Automated Analysis for Operations Support,” by J.K. Wilson, Scientific Drilling International, prepared for the 2018 SPE/AAPG Eastern Regional Meeting, Pittsburgh, Pennsylvania, USA, 7–11 October. The paper has not been peer reviewed.
...
This article is reserved for SPE members and JPT subscribers.
If you would like to continue reading,
please Sign In, JOIN SPE or Subscribe to JPT

BHA Behavior-Prediction Model Offers Potential for Automated Analysis

01 December 2019

Volume: 71 | Issue: 12

No editorial available

ADVERTISEMENT


STAY CONNECTED

Don't miss out on the latest technology delivered to your email weekly.  Sign up for the JPT newsletter.  If you are not logged in, you will receive a confirmation email that you will need to click on to confirm you want to receive the newsletter.

 

ADVERTISEMENT

ADVERTISEMENT

ADVERTISEMENT

ADVERTISEMENT