It has long been known that temperature during circulation and after cement placement is one ofthe most important parameters for the design of a slurry and the success of cement jobs. Since API co"elations do not take into account important parameters affecting the temperature evolution, simulators,which are sensitive to little known parameters, have been developed. This has made validation difficult or unconvincing, as there always exists a set of input parameters that can match observed temperature on a particular well. It has also significantly limited the widespread use of temperature simulators for field operations.In this paper we present a cementing temperature simulator which has been developed taking this inherent difficulty iilto account. The validation was performed by testing against 30 jobs from the API database, selected based on data completeness.With this simulator, temperature prediction has been considerably improved over the API method. The standard deviation, maximum overestimation and maximum underestimation have been reduced on the thirty API jobs.This model applies equally well to onshore and offshore,vertical and deviated wells, and takes into account other variables that affect temperatures while cementing.

Summary One of the most important but least well-known parameters in cementing operations is the circulating temperature. Many authors have presented theoretical analyses of the wellbore conditions, formulated mathematical models, and presented actual field measurements. However, very little temperature data have been reported for conditions of greatest concern (i.e., with casing in hole). To gather such data in detail, circulating temperature and pressure measurements were made with downhole tools lowered on wireline. In one case, temperature measurements were made during circulation immediately before cementing to record the circulating temperature in the well. In another case, measurements were made after the slurry was been placed to record the thermal recovery of the well. Data collected during these field trials (with casing in hole) are presented and demonstrate the different thermal response of a well with casing instead of drillpipe in the hole. Measured circulating temperatures are lower than those derived from the API schedules and highlight the necessity to account for well geometry properly when determining downhole temperatures. Introduction The oil industry has long recognized the importance of accurate and reliable determination of downhole circulating temperatures with respect to cementing operations. This is amply illustrated by the number of papers published on the subject. A number of analytical and numerical methods have been proposed to model the circulating well that often quote field data collected under drilling conditions. Various tools have been proposed for downhole flowing temperature measurement, and field data have been presented that show temperatures measured with drillpipe in the hole. However, very few papers have reported field data under the conditions that are most important (i.e., circulating temperatures with casing in hole). This paper presents the results of two field trials where fluid temperatures have been measured either at the casing shoe just before or immediately after the placement of a cement slurry.

It has long been known that temperature during circulation and after cement placement is one ofthe most important parameters for the design of a slurry and the success of cement jobs. Since API co"elations do not take into account important parameters affecting the temperature evolution, simulators,which are sensitive to little known parameters, have been developed. This has made validation difficult or unconvincing, as there always exists a set of input parameters that can match observed temperature on a particular well. It has also significantly limited the widespread use of temperature simulators for field operations.In this paper we present a cementing temperature simulator which has been developed taking this inherent difficulty iilto account. The validation was performed by testing against 30 jobs from the API database, selected based on data completeness.With this simulator, temperature prediction has been considerably improved over the API method. The standard deviation, maximum overestimation and maximum underestimation have been reduced on the thirty API jobs.This model applies equally well to onshore and offshore,vertical and deviated wells, and takes into account other variables that affect temperatures while cementing.

OoPYTIght 1994, SocbiY ofP6fm16um EmJineam, Inc. w paper wan LWWWWI for preaentmlw! M lhe Europnan Petroleum Cc41fat'eti hold in I.mWom U.K., 2S-27 m-l-.ABSTRACT Durinscf=mdng operationitishnpmtrmttohave agood

OoPYTIght 1994, SocbiY ofP6fm16um EmJineam, Inc. w paper wan LWWWWI for preaentmlw! M lhe Europnan Petroleum Cc41fat'eti hold in I.mWom U.K., 2S-27 m-l-.ABSTRACT Durinscf=mdng operationitishnpmtrmttohave agood