Toward a global model for correction of bottomhole temperature data: Progress and limitations

TY - JOUR

T1 - Toward a global model for correction of bottomhole temperature data: Progress and limitations

AU - Aabo, Tala Maria

AU - Hermanrud, Christian

PY - 2019/1

Y1 - 2019/1

N2 - Static formation temperature (SFT) can be estimated from temperatures measured during wire-line logging (Tm). A large number of correctionmodels for obtaining SFT fromTm have been suggested. Several studies have shown that SFTs yielded by such models are off by an average of 6°C-10°C (43°F-50°F) at burial depths of 1.5-3.5 km (0.9-2.2 mi) and thus have the potential to cause serious issues in thermal and hydrocarbon generation models. This paper explores the causes for erroneous SFT predictions generated from Tm measurements and identifies factors that should be addressed to generate a globally applicable correction model. We also present an improved empirical correction model for Tm data from eight oil and gas fields, located on the Norwegian continental shelf. The new empirical model was designed to give correct average SFT predictions and is applicable to single Tm measurements. It has been validated against temperatures recorded during drill-stem testing, which closely represent local SFTs. The expression yields improved results compared with other correction models applied to the data set. However, the average error in computed SFT values varies by up to 10°C (18°F) between the investigated hydrocarbon fields. We conclude that these variations result from differences in operational practices such as fluid circulation and drilling velocities. Therefore, current empirical and physical models for SFT prediction from Tm require local calibration. It is also suggested that more accurate compilations and analyses of operational data could lead to improved and more globally applicable models.

AB - Static formation temperature (SFT) can be estimated from temperatures measured during wire-line logging (Tm). A large number of correctionmodels for obtaining SFT fromTm have been suggested. Several studies have shown that SFTs yielded by such models are off by an average of 6°C-10°C (43°F-50°F) at burial depths of 1.5-3.5 km (0.9-2.2 mi) and thus have the potential to cause serious issues in thermal and hydrocarbon generation models. This paper explores the causes for erroneous SFT predictions generated from Tm measurements and identifies factors that should be addressed to generate a globally applicable correction model. We also present an improved empirical correction model for Tm data from eight oil and gas fields, located on the Norwegian continental shelf. The new empirical model was designed to give correct average SFT predictions and is applicable to single Tm measurements. It has been validated against temperatures recorded during drill-stem testing, which closely represent local SFTs. The expression yields improved results compared with other correction models applied to the data set. However, the average error in computed SFT values varies by up to 10°C (18°F) between the investigated hydrocarbon fields. We conclude that these variations result from differences in operational practices such as fluid circulation and drilling velocities. Therefore, current empirical and physical models for SFT prediction from Tm require local calibration. It is also suggested that more accurate compilations and analyses of operational data could lead to improved and more globally applicable models.

U2 - 10.1306/0607181612117167

DO - 10.1306/0607181612117167

M3 - Journal article

SN - 0149-1423

VL - 103

SP - 139

EP - 155

JO - AAPG Bulletin

JF - AAPG Bulletin

IS - 1

ER -