Factors Limiting the Quantitative Use of Mud-Logging Data (1993)

Factors Limiting the Quantitative Use of Mud-Logging Data Age Kyllingstad; Age Kyllingstad Rogaland Research Inst. Search for other works by this author on: This Site Google Scholar Jan L. Horpestad; Jan L. Horpestad Rogaland Research Inst. Search for other works by this author on: This Site Google Scholar Sigve Klakegg; Sigve Klakegg Rogaland Research Inst. Search for other works by this author on: This Site Google Scholar Ansgar Kristiansen; Ansgar Kristiansen Rogaland Research Inst. Search for other works by this author on: This Site Google Scholar Bernt S. Aadnoy Bernt S. Aadnoy Rogaland U. Contra Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Asia Pacific Oil and Gas Conference, Singapore, February 1993. Paper Number: SPE-25319-MS https://doi.org/10.2118/25319-MS Published: February 08 1993 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Kyllingstad, Age, Horpestad, Jan L., Klakegg, Sigve, Kristiansen, Ansgar, and Bernt S. Aadnoy. "Factors Limiting the Quantitative Use of Mud-Logging Data." Paper presented at the SPE Asia Pacific Oil and Gas Conference, Singapore, February 1993. doi: https://doi.org/10.2118/25319-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Asia Pacific Oil and Gas Conference and Exhibition Search Advanced Search AbstractThis paper focuses on the quality of mud logging data and the need for improving the quality. Included examples clearly demonstrate that traditional mud logging data suffers from errors and poor quality which limits its quantitative use, for instance in drill bit optimisation or modelling work. Special concern is paid to the accuracy of the depth, the rate of penetration and the surface weight on bit. It is concluded that there is a significant potential for improving the accuracy of these variables.IntroductionThe mud-logging service is a key factor in the drilling operation. The mud-loggers acquire and store a wide range of parameters and variables during the drilling, ranging from mud rheology and cuttings contents to drilling variables Like weight on bit (WOB) and rotational speed. Mud-logging data are used for post analysis of data as well as in real-time applications for monitoring and controlling the drilling process. The trend over the last decades is that the mud-logging service places more emphasis on the real time applications of the data and offer more advanced analysis and diagnosis functions to support the drilling operations I - 3.This paper presents some of the results from a research programme that started back in 1987. The project was initially supported by the Norwegian Council for Technical and Scientific Research and was called "Me Use of Kalman Filtering in the Drilling Process". The aim was to develop a Drilling Advisory System. The basic idea of this programme is that more down-hole information can be extracted from the surface parameters if more advanced analysis of the data is performed. In 1989 the project became a Drilling Engineering Association (Europe) project (DEA-E11). An important part of the project work during the three last years has been acquisition and analysis of real drilling data. Mud-logging data has been acquired from a full scale research rig and from two different North Sea drilling rigs, one jack-up and one semi-submersible.What became clear during the analysis of these real data sets is that mud-logging data suffers from poor quality and sometimes contains serious errors. Before the quality of the basic drilling data has been improved, it is very difficult to make more quantitative use of the mud-logging data.An example of a quantitative use of mud-logging data is to Fit drilling rate models, i.e. functions describing how the rate of penetration (ROP) varies with bit loads (WOB and rotational speed) and with other factors. However, with the current data quality it is very difficult to quantify the effect of such variables on the rate of penetration. Drilling rate models are essential in optimising the drilling process. But the drilling rate must be balanced by the bit wear rate and the risk for bit failure. This leads us to another quantitative use of mud-logging data. That is, post-analysis of the drilling data that aims at finding the origins of premature bit failures and determining reliable models for bit life and bit wear rates.Other examples of quantitative use mud-logging data are supervision of torque. drag forces and drillibility. Drillability can be defined as a normalised rate of penetration. A better accuracy increases the potential of detecting real changes of these variables and giving early warnings of abnormal downhole conditions. Finally, an improved drillability estimate provides an interesting potential for petrophysical evaluation, and determination of pore pressure while drilling. Keywords: wob, variation, fluctuation, mud-logging data, drilling measurement, drilling data acquisition, sensor, well logging, spe 25319, mud logging / surface measurements Subjects: Drilling Operations, Drilling Measurement, Data Acquisition and Automation, Formation Evaluation & Management, Information Management and Systems, Mud logging / surface measurements, Open hole/cased hole log analysis This content is only available via PDF. 1993. Society of Petroleum Engineers You can access this article if you purchase or spend a download.