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Liaohe Oilfield Experimental Study on Heavy Oil Sand Control and Sandcontrol Technique Decision

Author: YangJianPing
Tutor: LiZhaoMin
School: China University of Petroleum
Course: Oil and Gas Field Development Project
Keywords: heavy oil thermal recovery sand production prediction temperature stress artificial nerual network sand control methods optimal selection economic evaluation
CLC: TE358.1
Type: PhD thesis
Year: 2007
Downloads: 559
Quote: 4
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Abstract


The sand production in heavy oil block in Liaohe oilfield is very serious; and it has become an important factor which restricts futher development of the oilfield. On the basis of the survey of plenty of site materials, the sand production situation in Liaohe oilfield was summarized in this paper; the sand production mechanism of the heavy oil block was analyzed from the aspects of theory and experiment respectively; the theory research of the sand production mechanism indicates that the damage of the near wellbore rock causes the sand production, and the damage mainly boils down to shear damage and pulling damage, the lab experiment mainly simulated the influence of the high temperature steam and heavy oil flow during thermal recovery for the rock permeability, the results show that high temperature and flow will accelerate the sand production of the formation. The influence of the temperature viariation for the wellbore stability was analyzed through comparison.The theory and methods of the rock mechanics were adopted in this paper, the rock stress field near the perforation and the influence of the high temperature and fliud flow for the perforation passage stabilization was considered, and the compressive resistance which reflects the reservoir rock material consolidation degree was taken as the rock damage strength norm, A new sand production prediction model was established in this paper. The main purpose of the oil well sand control was to effectively block the sand production and get higher income; the objective of the sand control methods selection or evaluating index should reflex these two aspects. Combining the real situation in heavy oil block in Liaohe oil field, a heavy oil sand control database was established, the artificial nerual network was applied in the technology evaluation of the sand control methods, the relative economic contrast model was established. NPV, IRR etc economic index were calculated, which provided a basis for optimally selecting the sand control methods. Heavy oil sand control methods optimal selection software was developed based on the sand production prediction model and sand control methods optimal selection model, the software was applied in Liaohe oilfield and a good result was obtained.

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CLC: > Industrial Technology > Oil and gas industry > Oil and gas development and mining > Production Engineering > Underground operations,workover > Well sand , sand
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