Improving the Wellbore Stability While Drilling Long Open Hole Shale Intervals in Tahe Oil Field

2015 ◽  
Author(s):  
Hanyi Zhong ◽  
Zhengsong Qiu ◽  
Ganghua Chen ◽  
Weian Huang ◽  
Bingqiang Dong ◽  
...  
Keyword(s):  
Oil Field ◽  
Wellbore Stability ◽  
Open Hole ◽  
Tahe Oil Field

The structure improved design of rod load reducer in Tahe oil field

2013 ◽  
Author(s):  
Zhiqiang Huang ◽  
Liyan Liu ◽  
Qin Li ◽  
Chengsong Qiu ◽  
Yachao Ma
Keyword(s):  
Oil Field ◽  
Improved Design ◽  
Tahe Oil Field

Impact of High Resolution 3D Geomechanics on Well Optimization in the Southern Gulf of Suez, Egypt

2021 ◽  
Author(s):  
Mohamed Elkhawaga ◽  
Wael A. Elghaney ◽  
Rajarajan Naidu ◽  
Assef Hussen ◽  
Ramy Rafaat ◽  
...  
Keyword(s):  
High Resolution ◽  
Pore Pressure ◽  
Cost Optimization ◽  
Oil Field ◽  
Wellbore Stability ◽  
Gulf Of Suez ◽  
Geomechanical Model ◽  
3D Geomechanical Model ◽  
The Cost ◽  
The Impact

Abstract Optimizing the number of casing strings has a direct impact on cost of drilling a well. The objective of the case study presented in this paper is the demonstration of reducing cost through integration of data. This paper shows the impact of high-resolution 3D geomechanical modeling on well cost optimization for the GS327 Oil field. The field is located in the Sothern Gulf of Suez basin and has been developed by 20 wells The conventional casing design in the field included three sections. In this mature field, especially with the challenge of reducing production cost, it is imperative to look for opportunites to optimize cost in drilling new wells to sustain ptoduction. 3D geomechanics is crucial for such cases in order to optimize the cost per barrel at the same time help to drill new wells safely. An old wellbore stability study did not support the decision-maker to merge any hole sections. However, there was not geomechanics-related problems recorded during the drilling the drilling of different mud weights. In this study, a 3D geomechanical model was developed and the new mud weight calculations positively affected the casing design for two new wells. The cost optimization will be useful for any future wells to be drilled in this area. This study documents how a 3D geomechanical model helped in the successful delivery of objectives (guided by an understanding of pore pressure and rock properties) through revision of mud weight window calculations that helped in optimizing the casing design and eliminate the need for an intermediate casing. This study reveals that the new calculated pore pressure in the GS327 field is predominantly hydrostatic with a minor decline in the reservoir pressure. In addition, rock strength of the shale is moderately high and nearly homogeneous, which helped in achieving a new casing design for the last two drilled wells in the field.

Application of Computational Intelligence in Generating Synthetic Reservoir Rock Mechanical Parameters for Building Geo-Models.

2015 ◽  
Author(s):  
L. C. Akubue ◽  
A.. Dosunmu ◽  
F. T. Beka
Keyword(s):  
Neural Network ◽  
Statistical Analysis ◽  
Numerical Models ◽  
Petroleum Industry ◽  
Oil Field ◽  
Wellbore Stability ◽  
Reservoir Rock ◽  
Rock Properties ◽  
Earth Model ◽  
Sonic Log

Abstract Oil field Operations such as wellbore stability Management and variety of other activities in the upstream petroleum industry require geo-mechanical models for their analysis. Sometimes, the required subsurface measurements used to estimate rock parameters for building such models are unavailable. On this premise, past studies have offered variety of methods and investigative techniques such as empirical correlations, statistical analysis and numerical models to generate these data from available information. However, the complexity of the relationships that exists between the natural occurring variables make the aforementioned techniques limited. This work involves the application of Artificial Neural Networks (ANNs) to generating rock properties. A three-layer back-propagation neural network model was applied predicting pseudo-sonic data using conventional wireline log data as input. Four well data from a Niger-Delta field were used in this study, one for training, one for validating and the two others for generating and testing results. The network was trained with different sets of initial random weights and biases using various learning algorithms. Root mean square error (RMSE) and correlation coefficient (CC) were used as key performance indicators. This Neural-Network-Generated-Sonic-log was compared with those generated with existing correlations and statistical analysis. The results showed that the most influential input vectors with various configurations for predicting sonic log were Depth-Resistivity-Gamma ray-Density (with correlating coefficient between 0.7 and 0.9). The generated sonic was subsequently used to compute for other elastic properties needed to build mechanical earth model for evaluating the strength properties of drilled formations, hence optimise drilling performance. The models are useful in Minimizing well cost, as well as reducing Non Productive Time (NPT) caused by wellbore instability. This technique is particularly useful for mature fields, especially in situations where obtaining this well logs are usually not practicable.

Hydrocarbon charging histories of the Ordovician reservoir in the Tahe oil field, Tarim Basin, China

2004 ◽  
Vol 5 (8) ◽  
pp. 976-978 ◽  
Author(s):  
Chun-quan Li ◽  
Hong-han Chen ◽  
Si-tian Li ◽  
Xi-ming Zhang ◽  
Han-lin Chen
Keyword(s):  
Tarim Basin ◽  
Oil Field ◽  
Hydrocarbon Charging ◽  
Ordovician Reservoir ◽  
Tahe Oil Field

Research on Factors and Model of Water Production of Bottom Water Reservoir

2012 ◽  
Vol 594-597 ◽  
pp. 2590-2597
Author(s):  
Liang Zhang ◽  
Yi Zuo Shi ◽  
Chang Hui Yan ◽  
Xiao Xiong Wu ◽  
Pan Zhao ◽  
...  
Keyword(s):  
Bottom Water ◽  
Water Reservoir ◽  
Oil Field ◽  
Control Measures ◽  
High Yield ◽  
Oil Well ◽  
Water Production ◽  
Mode Water ◽  
Production Mode ◽  
Tahe Oil Field

In block one of Tahe oil field, the Triassic Lower Oil Formation sand with a low-amplitude anticline has a characteristic of bottom water reservoir and a uniform oil/water contact, bottom water is energetic, natural water drive, rock and fluid depletion drive. With the continuous development, oilfield has entered high water cut stage, bottom water coning is significant, oil well has rising of the water content and production decline. Summarized influencing factors of water production and water production mode in block one of Tahe oil field. According to water production factors of oil well, we draw four kinds of water production mode: water production mode of tectonic position, water production mode of poor fault-sealing prediction, water production mode of developed into inter-layers, water production mode of high specific inflow segments. Putting forward four kinds of water production mode provide a theoretical basis to control measures for high yield water of later oil well.

Simulation of wellbore stability with thermo-hydro-chemo-mechanical coupling in troublesome formations: an example from Ahwaz oil field, SW Iran

2013 ◽  
Vol 8 (1) ◽  
pp. 379-396 ◽  
Author(s):  
Saeed Rafieepour ◽  
Haniyeh Jalayeri ◽  
Cyrus Ghotbi ◽  
Mahmoud Reza Pishvaie
Keyword(s):  
Oil Field ◽  
Wellbore Stability ◽  
Mechanical Coupling ◽  
Sw Iran

Mechanical-Thermal-Chemical Coupled Research of Wellbore Stability in Jabung Oil Field, Indonesia

2011 ◽  
Vol 402 ◽  
pp. 709-714 ◽  
Author(s):  
Pei Yang ◽  
Mian Chen ◽  
Yan Jin ◽  
Bing Hou ◽  
Kang Qiu ◽  
...  
Keyword(s):  
Stress Distribution ◽  
Drilling Fluid ◽  
Great Influence ◽  
Chemical Properties ◽  
Oil Field ◽  
Wellbore Stability ◽  
Additional Stress ◽  
Borehole Stability ◽  
Well Trajectory ◽  
The Impact

The Jabung oilfield in Indonesia is characterized by complex geological structural movement, large tectonic stress and high temperature gradient. Accidents such as borehole collapse and sticking were frequently encountered when drilling shale formations, which often result in serious damage. In this paper, a series of experiments were conducted to evaluate the performance of shale in drilling fluid, including linear expansion rate evaluation tests and rolling recovery evaluation tests. Also X-ray diffraction was used to analyze the mineral composition of shale. The mechanical parameters of shale were obtained through statistical analysis. By using ABAQUS software, the temperature difference induced by thermal stress distribution was analyzed. After that, the borehole stress distribution was determined by coupling the additional stress with in-situ stress. Finally, based on borehole stability mechanical models, the effects of well trajectory on borehole stability were analyzed. We found that the chemical properties of drilling fluid, wellbore trajectory and temperature has a great influence on wellbore stability, and the impact of temperature changes and of well trajectory are the largest factor.

Prediction of a fracture-cavern system in a carbonate reservoir: A case study from Tahe oil field, China

2006 ◽  
Vol 25 (11) ◽  
pp. 1396-1400 ◽  
Author(s):  
Luping Guan ◽  
Shixing Wang ◽  
Hailong Zhu
Keyword(s):  
Carbonate Reservoir ◽  
Oil Field ◽  
Tahe Oil Field
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