CNOOC Research Institute

United States

CNOOC Research Institute

United States
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Shufang M.,CNOOC Research Institute | Hao Y.,Petrochina | Li L.,China National Offshore Oil Corporation | Tingen F.,CNOOC Research Institute | Jiannan Z.,CNOOC Research Institute
SEG Technical Program Expanded Abstracts | Year: 2014

In this paper, an inversion method for fracture-related layer properties based on elastic impedance data is presented. Firstly, qP-qP reflection coefficients between the two weakly anisotropic HTI half-space media is studied, after which the expression of reflection coefficients is linearized. Then, a simplified HTI elastic impedance formula is derived. Finally, a workflow for extracting fracture properties from elastic impedance data is proposed. Test on theoretical model and its synthetic seismic data shows that the proposed method obtains a reliable and expected result. © 2014 SEG.


Jie T.,CNOOC Research Institute | Baoshu C.,CNOOC Research Institute | Songkang L.,CNOOC Research Institute
SEG Technical Program Expanded Abstracts | Year: 2015

Ghost wave is a problem which always exists in marine seismic exploration. It has not been fundamentally resolved for a long time and restricts the seismic exploration technology progress seriously. In this paper, we develop a deghosting method based on wavelet processing. The first step is calculating the cable-ghost suppression operator and the source-ghost suppression operator by far field wavelet processing, then we apply the operators to the seismic data to suppress ghost wave. The test result of theoretical model and real seismic data proves that the method is effective to suppress ghost wave; broaden the frequency spectrum; improve the quality of seismic data. © 2015 SEG.


Zhenyu Z.,CNOOC Research Institute | Xiaoliu W.,CNOOC Research Institute | Shunyun S.,CNOOC Research Institute | Zhipeng L.,CNOOC Research Institute | Yangyang H.,CNOOC Research Institute
SEG Technical Program Expanded Abstracts | Year: 2015

Time-lapse seismic is used to reveal subtle signals which are representative of reservoir variation. With the widespread application of 4D technology, many attentions have been paid on the quantitative prediction of reservoir variation via time-lapse seismic data. In this article, the author shows the pressure prediction process using time-lapse seismic technology in China offshore gas field. Reservoir parameters are estimated with time-lapse multi-attribute analysis using artificial neural network and prestack elastic impedance inversion based on seismic difference data. Practical application of those two methods to real seismic data in offshore gas field indicates that it is useful, efficient and reliable. © 2015 SEG.


Fan T.,CNOOC Research Institute | Hu G.,CNOOC Research Institute | Zhang X.,CNOOC Research Institute | Tian N.,CNOOC Research Institute | Nie Y.,CNOOC Research Institute
SEG Technical Program Expanded Abstracts | Year: 2014

Absorption is an effective reservoir and hydrocarbon indicator. Conventional absorption analysis technique is based on constant time window length, which has the strong multi-solutions for hydrocarbon detection of weak amplitude reservoir. A new wavelet energy absorption (WEA) method named ATW_GST_WEA is proposed in this paper, which can be implemented by three steps: (1) using regularization inversion algorithm to calculate the local frequency of target reservoir, then computing adaptive time window (ATW); (2) calculating time-frequency spectrum with the generalized S-transform (GST); (3) fitting high and low frequency absorption factors from instantaneous wavelet spectrum by nonlinear inversion. Through the real data application in strong and weakamplitude reservoir, the results comparison of ATW_GST_WEA method with the conventional absorption analysis methods are analyzed, and the technique adaptabilities are studied. © 2014 SEG.


Haiyan Y.,CNOOC Research Institute | Bin W.,CNOOC Research Institute | Shuyun S.,CNOOC Research Institute | Xiudi J.,CNOOC Research Institute | Jinglei Y.,China National Petroleum Corporation
SEG Technical Program Expanded Abstracts | Year: 2015

The main target formation of Field A is a lowstand wedgeshaped delta sandstone developing on the shelf-break belt, which has thin layers and fast lateral variation. On the top of sandstone, there is a set of ultra thick mudstone with high speed. So it is difficult to describe sandbody accurately. This work gives a high-precision attributes analysis technology to resolve the problem. We extract multiple high-precision attributes based on analysis of reservoir characteristic, and then make fusing display using K-L transform results, to describe development zones of reservoir. At last, we use the neural network method to get the distribution of reservoir, and its statistical thickness. The results are satisfactory compared with well data. © 2015 SEG.


Liu C.,CNOOC Research Institute | Sun J.,Jilin University | Sun Z.,Jilin University | Han F.,Jilin University
SEG Technical Program Expanded Abstracts | Year: 2013

To compute traveltimes and raypaths of seismic waves of different types in ocean regions with complex seabed topography, a new method, called multistage upwind interpolation method, is presented. The key point of the method is to construct the linear interpolation formulas for the traveltimes and raypaths by using the basic ideas of the upwind finite difference method, the multistage fast marching method, and of the multistage backward ray computation scheme. A numerical evaluation and some numerical examples in some typical models with complex seabed topography show that the multistage upwind interpolation method is accurate, unconditionally stable, and flexible enough when it is used in ocean regions with the complex seabed topography. © 2013 SEG.


Wang X.-J.,CNOOC Research Institute | Liu C.-C.,CNOOC Research Institute | Chen B.-S.,CNOOC Research Institute | Yang K.,Tongji University
SEG Technical Program Expanded Abstracts | Year: 2014

Due to a sparse spatial sampling of deep-water data acquired in South China Sea, lots of seismic alias can be generated after implementation of multiple attenuation. It will surely have a negative impact on the later seismic inversion or the quality of depth image. Current industrial software or processing workflow can't handle this problem very well. In this paper, we present an interpolation technique based on 3D common-reflection-surface with output imaging scheme (3D CRS-OIS) from which the data is interpolated and regularized. Then the regularized data is used as an input for multiple attenuation. We apply this work-flow to two real deep-water 3D data acquired in South China Sea. These real data examples demonstrated its effectiveness and robustness. © 2014 SEG.


Zhenyu Z.,CNOOC Research Institute | Xiaoliu W.,CNOOC Research Institute | Zhipeng L.,CNOOC Research Institute | Yangyang H.,CNOOC Research Institute | Shuyun S.,CNOOC Research Institute
SEG Technical Program Expanded Abstracts | Year: 2015

With the widespread application of 4D technology, it isbecoming the mainstream of oil&gas industry. In thisarticle, the author shows the application of time-lapseseismic technology in China offshore XJ oilfield. The time-lapse seismic has played a significant role in understandingand characterizing production mechanisms and in assistingwell planning by identifying unswept zones. © 2015 SEG.


Zhu Z.,CNOOC Research Institute
75th European Association of Geoscientists and Engineers Conference and Exhibition 2013 Incorporating SPE EUROPEC 2013: Changing Frontiers | Year: 2013

It is well known that time-lapse seismic has been taken as a powerful tool for reservoir management. But there are conditions to apply time-lapse seismic to a certain reservoir, so the feasibility analysis is the foundation of time-lapse seismic application. There are many production oil&gas fields in China offshore, which one of them is more suitable for the application of time-lapse seismic technology? In this paper, the author shows the selection of affection parameters and a feasibility analysis method using Analytic Hierarchy Process(AHP). With this method, target reservoirs can be easily chosen by queuing the calculated priority scale results. Copyright © (2012) by the European Association of Geoscientists & Engineers All rights reserved.


Xu B.-X.,CNOOC Research Institute | Bai Y.-H.,CNOOC Research Institute | Chen G.-H.,CNOOC Research Institute | Feng R.-Y.,CNOOC Research Institute
SOCAR Proceedings | Year: 2015

Production performance of shale oil and gas wells is complicated due to the uncertainty of fracture geometry and heterogeneity of reservoir properties, et al. Especially, it is difficult to link the engineer parameters such as stage, cluster, proppant, fracture fluid to well production, which is significant for fracturing design and optimization. The purpose of this study is trying to find out this link and reveal the production performance and influence factors for shale oil and gas reservoirs. A large number of analytical modeling has done and the sensitivity of production influence factors has studied. Moreover, a field case of shale oil and gas basin in US is analyzed and compared with the theoretic study results. Sensitivity study showed that the production rate increases with fracture half-length, conductivity and horizontal well length increase, while declines with the fracture spacing increases. All of the engineering parameters have optimal values. Field case stated that the influence rules of engineering parameters on production are consistent with the theoretical modeling results, but it is more complicated. It is shown that production has positive correlation with horizontal well length, and has ascending trend with stage, cluster, fracture fluid, proppant increase although it is not obvious. However, the production contribution per increment of their values will decline when they increase. In most cases, the increase of engineering parameters could not lead to production decline, and will only add the operation cost and difficulty. So in order to design the engineering parameters, the optimal value should be determined based on economic indexes. The link between fracturing parameters and fracture characteristics is significant. Fracturing monitoring or fracture propagation modeling is required and necessary to understand well performance for shale oil and gas reservoirs.

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