Optimized Random Vector Functional Link network to predict oil production from Tahe oil field in China

In China, Tahe Triassic oil field block 9 reservoir was discovered in 2002 by drilling wells S95 and S100. The distribution of the reservoir sand body is not clear. Therefore, it is necessary to study and to predict oil production from this oil field. In this study, we propose an improved Random Vector Functional Link (RVFL) network to predict oil production from Tahe oil field in China. The Spherical Search Optimizer (SSO) is applied to optimize the RVFL and to enhance its performance, where SSO works as a local search method that improved the parameters of the RVFL. We used a historical dataset of this oil field from 2002 to 2014 collected by a local partner. Our proposed model, called SSO-RVFL, has been evaluated with extensive comparisons to several optimization methods. The outcomes showed that, SSO-RVFL achieved accurate predictions and the SSO outperformed several optimization methods.

Residual Strength Analysis of Oil Tubes with Corrosion Defect

Corrosion defect in oil tubes is one main threat for the safety production of oil field. The corrosion defect in the tube will cause stress concentration and even lead to failure. The injection of CO2 widely used during the recent years in oil fields, making the corrosion problems more severe. In this study a finite element model for the residual strength analysis of oil tube with corrosion defect was established by the programing language APDL. Based on the actual data of one oil well in Tahe oil field in China, the sensitivities of the axial length, circumferential width, radial depth of the corrosion defect, the internal pressure and axial force on the residual strength of the tube was examined in detail. The proposed method can be referred in the safety evaluation for oil tubes with corrosion defect.

Lower-Middle Ordovician Cave-Reservoir Characters and Dominant Factors in Southern Tahe Oil Field

It is discussed characteristic and dominant factors of lower-middle Ordovician cave-reservoir in southern Tahe oilfield by analyzing data such as core, well drilling, logging, and seismic systematically, and by applying reservoir identifying, wells comparing, section of seismic analyzing, and ancient physiognomy recovering technology in this article. Three cave layers effected by the early hercynian karstification have been discovered in the study area. In single well section, the cave layer with strong heterogeneity corresponds with the Karst cycle with six combinations. The cave layers dominated by the early hercynian unconformity concentrate under0-200metre of the unconformity surface. The nearer to the unconformity surface, the more caves are filled. With effecting of fracture, the caves layers, especially larger cave, are often discovered in fractures concentrated zone. With effecting of ancient physiognomy, the caves layers are often in gentle carbonate slope. The unconformity, regional fractures and ancient physiognomy are the dominant factors of lower-middle Ordovician cave-reservoir in southern Tahe oil field.