﻿ 相控随机优化地震反演技术及应用 Facies Constrained Stochastic Optimization Seismic Inversion and Application

Vol.08 No.03(2018), Article ID:25352,8 pages
10.12677/AG.2018.83052

Facies Constrained Stochastic Optimization Seismic Inversion and Application

Weiping Zhao, Ting’en Fan, Lei Yang, Fei Chen, Jing Le

Research Institute, CNOOC, Beijing, China

Received: May 16th, 2018; published: Jun. 4th, 2018; published: Jun. 11th, 2018

ABSTRACT

The lateral variation of fluvial reservoir is fast, the well pattern is sparse in offshore oilfield, and the uncertainty of conventional logging constrained inversion methods on the prediction of inter-well reservoir is large. In order to improve the precision of logging constrained inversion under the condition of sparse well pattern, a sedimentary facies controlled stochastic optimal seismic inversion method was developed. The initial model integrates sedimentary data, seismic attributes and logging information, and no longer depends on logging information only. In the process of inversion, we adopt the improved stochastic hill-climbing algorithm. First we start with multiple random solutions, and form the set of optimal solutions. Then we find out the global optimal solution, making the synthetic seismograms and seismic records to achieve the maximum degree of similarity, and achieve the goal of global optimal inversion. The application of the real data shows that the initial model established by the facies-controlled stochastic optimization seismic inversion method reduces the reservoir prediction error caused by the lack of wells and uneven well distribution. The model forward seismic data and observational seismic data are matched optimally, and the prediction accuracy of offshore fluvial reservoir is improved.

Keywords:Restriction of Sedimentary Facies, Stochastic Hill-Climbing Algorithm, Logging Constrained, Seismic Inversion, Fluvial Facies

1. 引言

2. 关键技术及流程

2.1. 子波提取与井震标定

Figure 1. Facies controlled stochastic optimization of seismic inversion process

2.2. 相控建模技术

2.3. 相控随机优化反演技术

3. 海上油田案例分析

Figure 2. Cross plot of impedance and natural gamma ray

Figure 3. Synthetic seismic record of well A22 and well B07

Figure 4. 3D facies model

Figure 5. Through-wellA03-A04-A09-A17-D02-8-C18-10 facies constrained seismic inversion profile

Figure 6. Congruent map of inversion profile and seismic profile through-well A03-A04-A09-A17-D02-8-C18-10

(a) (b)

Figure 7. Sedimentary micro-facies map and average impedance of NmI-3 layer

4. 结论

1) 相控随机优化测井约束地震反演技术充分利用了测井资料中的低频和高频信息，有效弥补了地震数据有限带宽的不足，在海上河流相储层反演的实际应用中实现了对储层砂体的高分辨率预测，增加的相控约束使得反演结果能够较好的体现研究区的沉积特征和砂体展布规律，进一步降低因井少、井分布不均衡带来的储层预测误差。

2) 相控随机优化测井约束地震反演在典型海上河流相油田QHD32-6储层研究中得到了有效应用，预测砂体厚度既忠实于井上真实的砂体厚度值，又利用了井间丰富的地震信息，预测结果更加可靠，因此该技术在海上油田可以推广应用。

Facies Constrained Stochastic Optimization Seismic Inversion and Application[J]. 地球科学前沿, 2018, 08(03): 484-491. https://doi.org/10.12677/AG.2018.83052

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