Application of Inversion after Limestone Hollow-Out in Pearl River Mouth Basin

2013 ◽  
Vol 734-737 ◽  
pp. 294-299
Author(s):  
Ying Jun Yang ◽  
Jun Mao Zheng ◽  
Zheng Qing Ding
Keyword(s):  
River Mouth ◽  
Prediction Method ◽  
Forward Modeling ◽  
Seismic Inversion ◽  
Inversion Method ◽  
Sand Ridge ◽  
Pearl River Mouth Basin ◽  
Delta Front ◽  
Reservoir Prediction ◽  
Sand Bodies

The target layer of study area belongs to delta front and shallow shelf deposition, and the sedimentary formation is sandstone and mudstone thin interbed, the limy developed in sand layer. To make the inversion data reflect the characteristics of reservoir accurately, the methods of limy separation analysis by drilling and forward modeling have been used in this paper, and removed the limy from seismic data according to the characteristics of wave impedance（limestone hollow-out）. According to the research of limestone hollow-out Inversion, delta front sand bodies developed in the J2 formation of H district, and the J2 formation of H district where it is in the west of the study area, a gravity flow channel in the center, shallow shelf sand ridge sand bodies mainly developed in the eastern; delta front sand bodies developed in the J1 formation of HD district, which includes underwater branch channel sand body. A number of lithologic traps have been found and optimized by the research of Retrieval data near the large fault and ramp region, and also have achieved the intended purpose. This inversion method is a kind of reservoir prediction method based on seismic, geological and logging, which added in forward modeling techniques, and is an extension of Model seismic inversion method, and also Provided a new approach for reservoir prediction of the special lithological developed zone.

Reservoir Prediction Under Control of Sedimentary Facies

2017 ◽  
Vol 25 (03) ◽  
pp. 1750022
Author(s):  
Xiuwei Yang ◽  
Peimin Zhu
Keyword(s):  
Seismic Data ◽  
Low Frequency ◽  
Prediction Method ◽  
Rock Physics ◽  
Real Data ◽  
Sedimentary Facies ◽  
Seismic Inversion ◽  
Rock Properties ◽  
Reservoir Prediction ◽  
Frequency Model

Acoustic impedance (AI) from seismic inversion can indicate rock properties and can be used, when combined with rock physics, to predict reservoir parameters, such as porosity. Solutions to seismic inversion problem are almost nonunique due to the limited bandwidth of seismic data. Additional constraints from well log data and geology are needed to arrive at a reasonable solution. In this paper, sedimentary facies is used to reduce the uncertainty in inversion and rock physics modeling; the results not only agree with seismic data, but also conform to geology. A reservoir prediction method, which incorporates seismic data, well logs, rock physics and sedimentary facies, is proposed. AI was first derived by constrained sparse spike inversion (CSSI) using a sedimentary facies dependent low-frequency model, and then was transformed to reservoir parameters by sequential simulation, statistical rock physics and [Formula: see text]-model. Two numerical experiments using synthetic model and real data indicated that the sedimentary facies information may help to obtain a more reasonable prediction.

The Application of Peak Number Attribute in the Prediction of River Sand

2013 ◽  
Vol 838-841 ◽  
pp. 1591-1594 ◽  
Author(s):  
Ting Ting Li ◽  
Xing Xing Zhang ◽  
Shi Zhong Ma ◽  
Zhao Wang
Keyword(s):  
Seismic Reflection ◽  
Forward Modeling ◽  
Delta Front ◽  
River Sand ◽  
Well Control ◽  
Peak Number ◽  
Analysis Techniques ◽  
Modeling Analysis ◽  
Sand Bodies ◽  
Reflection Characteristics

Its a commonly used method to predict layer by using seismic attributes, especially for some of the less well control channel sand bodies whose role is more important. Putaohua reservoir in Gaotaizi oilfield mainly develop shallow water delta front subaqueous distributary channel sand bodies which has narrow rivers and thin sand bodies, meanwhile, the existing well density is difficult to control the trend and boundary of the channel. By using seismic forward modeling analysis techniques, this paper researched the differences of seismic reflection characteristics among different geological model of channel sand bodies, then , further pointed out the methods of channel sand prediction by using the peak number attribute and analyzed the predictive effect. The results show that this method can effectively improve the prediction accuracy of thin interbedded reservoir.

Seismic inversion with adaptive edge-preserving smoothing preconditioning on impedance model

Geophysics ◽  
2019 ◽  
Vol 84 (1) ◽  
pp. R11-R19 ◽  
Author(s):  
Ronghuo Dai ◽  
Cheng Yin ◽  
Nueraili Zaman ◽  
Fanchang Zhang
Keyword(s):  
Seismic Data ◽  
Random Noise ◽  
A Priori ◽  
Window Size ◽  
Seismic Inversion ◽  
Small Scale ◽  
Inversion Method ◽  
Reservoir Prediction ◽  
Edge Preserving ◽  
Impedance Model

Poststack seismic impedance inversion is an effective approach for reservoir prediction. Due to the sensitivity to noise and the oscillation near the bed boundary, Gaussian distribution constrained seismic inversion is unfavorable to delineate the subtle-reservoir and small-scale geologic features. To overcome this shortcoming, we have developed a new method that incorporates a priori knowledge in the seismic inversion through a preconditioning impedance model using the adaptive edge-preserving smoothing (Ad-EPS) filter. The Ad-EPS filter preconditioned impedance model for a blocky solution makes the formation interfaces and geologic edges more precise and sharper in the inverted impedance results and keeps the inversion procedure robust even if random noise exists in the seismic data. Furthermore, compared with the conventional EPS filter, the Ad-EPS filter is able to resolve thick and thin geologic features through window size scanning, which is used to find the best-fitting window size for each sample to be filtered. The results of numerical examples and real seismic data test indicate that our inversion method can suppress noise to obtain a “blocky” inversion result and preserve small geologic features.

Seismic inversion based on proximal objective function optimization algorithm

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. R237-R246 ◽  
Author(s):  
Ronghuo Dai ◽  
Fanchang Zhang ◽  
Hanqing Liu
Keyword(s):  
Objective Function ◽  
Optimization Algorithm ◽  
Computational Efficiency ◽  
Real Data ◽  
Cauchy Distribution ◽  
Critical Issue ◽  
Seismic Inversion ◽  
Function Optimization ◽  
Inversion Method ◽  
Reservoir Prediction

Seismic impedance inversion has become a common approach in reservoir prediction. At present, the critical issue in the application of seismic inversion is its low computational efficiency, especially in 3D. To improve the computational efficiency, we have developed an inversion method derived from the proximal objective function optimization algorithm. Our inversion method calculates each unknown parameter in the model vector, one by one during iteration. Compared with routine gradient-dependent inversion algorithms, such as the iteratively reweighted least-squares (IRLS) algorithm, our inversion method has lower computational complexity as well as higher efficiency. In addition, to obtain a sparse reflectivity series, a long-tailed Cauchy distribution is used as the a priori constraint. The weak nonlinear problem owing to the introduction of Cauchy sparse constraint is addressed by taking advantage of reweighting strategy. Results of synthetic and real data tests illustrate that the proposed inversion method has higher computational efficiency than IRLS algorithm, and its inversion accuracy remains the same.

Application of Seismic Inversion Technique Base on Geostatistics in Prediction of Thin Sand Body Reservoir

2014 ◽  
Vol 1030-1032 ◽  
pp. 724-727
Author(s):  
Chun Lei Li ◽  
Wen Qi Zhang ◽  
Zhao Hui Xia ◽  
Ming Zhang ◽  
Liang Chao Qu ◽  
...  
Keyword(s):  
Seismic Data ◽  
Seismic Inversion ◽  
Rock Properties ◽  
Inversion Method ◽  
Reservoir Model ◽  
Reservoir Prediction ◽  
Inversion Technique ◽  
Pulse Inversion ◽  
Sand Body ◽  
Geostatistical Inversion

Seismic inversion methods include constrained sparse pulse inversion and band limit inversion, etc. Although resolution of the seismic inversion results is higher than seismic data, it does not identify thin interbedding sand body and confirm the development of reservoirs. In this paper, in A block of Indonesia adopted geostatistical inversion in reservoir prediction, which is a method of seismic inversion combining geological statistics simulation and seismic inversion. This inversion method can establish various 3D geological model with the same probability of rock properties and lithology and it obey all seismic, logging and geological data. Using statistical regularity and seismic inversion technique we can obtain more fine reservoir model and finally reach the purpose of identification of single thin sand layer.

The Research of Forward Modeling about Seismic Attributes in Rich Oil Reservoir Segment of Enping Sag

2014 ◽  
Vol 1065-1069 ◽  
pp. 1547-1550
Author(s):  
Qi Qi Ma ◽  
Yan Chun Wang
Keyword(s):  
Seismic Data ◽  
River Mouth ◽  
Forward Modeling ◽  
Pearl River ◽  
Pearl River Mouth Basin ◽  
Acoustic Wave Equation ◽  
Absorbing Boundary ◽  
Equation Resolution ◽  
Response Characteristics ◽  
Data Extracting

Enping sag is located in the west of Zhu 1 sag of Pearl River Mouth Basin. In order to verify the reservoir spreading of Enping sag in Pearl River Mouth Basin and provide the reliable basis for reserves prediction. In this paper, according to the actual seismic data extracting the theoretical seismic model, applying spectral method to construct the acoustic wave equation, and then, deducing the partial differential equation resolution of absorbing boundary condition. Through the forward modeling summarized the seismic response characteristics of oil layer, and making a forward modeling with actual parameters of wells model. Finally obtained the expected effect.

Nonlinear amplitude-variation-with-offset inversion for Lamé parameters using a direct inversion method

2017 ◽  
Vol 5 (3) ◽  
pp. SL57-SL67 ◽  
Author(s):  
Guangsen Cheng ◽  
Xingyao Yin ◽  
Zhaoyun Zong
Keyword(s):  
Nonlinear Equation ◽  
Real Data ◽  
Seismic Inversion ◽  
Inversion Method ◽  
Nonlinear Inversion ◽  
Reservoir Prediction ◽  
Amplitude Variation ◽  
Linear Inversion ◽  
Amplitude Variation With Offset ◽  
Avo Inversion

Prestack seismic inversion is widely used in fluid indication and reservoir prediction. Compared with linear inversion, nonlinear inversion is more precise and can be applied to high-contrast situations. The inversion results can be affected by the parameters’ sensitivity, so the parameterization of nonlinear equations is very significant. Considering the poor nonlinear amplitude-variation-with-offset (AVO) inversion results of impedance and velocity parameters, we adjust the parameters of the nonlinear equation, avoid the inaccuracy caused by parameters sensitivity and get the ideal nonlinear AVO inversion results of the Lamé parameters. The feasibility and stability of the nonlinear equation based on the Lamé parameters and method are verified by the model and the real data examples. The resolution and the lateral continuity of nonlinear inversion results are better compared with the linear inversion results.

scholarly journals Sedimentary Sequence, Evolution Model and Petroleum Geological Significance of Forced Regression: A Case Study of the Miocene Zhujiang Formation of the Pearl River Mouth Basin in the Northern South China Sea

2021 ◽  
Vol 9 (11) ◽  
pp. 1298
Author(s):  
Ye Yu ◽  
Linghui Cai ◽  
Changmin Zhang ◽  
Li Wang ◽  
Rui Zhu ◽  
...  
Keyword(s):  
Northern South China Sea ◽  
River Mouth ◽  
Evolution Model ◽  
Petroleum Geology ◽  
Pearl River Mouth Basin ◽  
Shelf Edge ◽  
Sedimentary Sequence ◽  
Delta Front ◽  
Forced Regression ◽  
Oil Gas

Using 2D/3D seismic data and a large number of drilling and logging data and applying sequence stratigraphy, seismic sedimentology, and petroleum geology concepts, the characteristics of the sedimentary sequence of the forced regression have been analysed, the migration trajectory of the coastline have been reconstructed, the evolution model of the forced regression have been presented, and the significance for petroleum geology of the forced regressive sandbodies have been discussed. The falling stage systems tract (FSST) of the Zhujiang Formation present offlap high-angle oblique foreset reflection structure in the seismic profiles of the depositional trends and turbidite fan deposits with strong amplitude mound reflection structure are developed in the downdip direction of its front. The trajectory of migration of the shoreline shows a terraced downtrend in the direction of basin. The FSST is characterized by the shelf-edge delta without topset beds. The FSST was formed in the fall of relative sea-level. Five sets of foreset beds controlled by high-frequency relative eustatic were developed, therefore ordinal regressive overlap can be observed for the five sets of shelf-edge deltas in the depositional trends. The favourable reservoirs which were located close to the upper boundary of the falling stage systems tract and the basal surface of forced regression are sandbodies of the shelf-edge delta front and wave-dominated shoreface sands and the sandbodies of the turbidite fan. Those sandbodies favour the formation of lithologic oil–gas reservoirs by means of good trap sealing conditions, excellent oil–gas reserving performance, and effective oil source communication of fracture system.

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