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Recently, velocity prediction and modeling have been focus of the geophysical exploration in the high temperature and high pressure of the south China sea area, especially for new offshore exploratory areas. The error is large with great difficulty owing to fewer exploratory wells and misunderstanding. Firstly, on the basis of three typical velocity prediction and modeling examples in Ying-Qiong basin, it’s easy to put forward the corresponding not common but urgent problem in each instance, then combined with the velocity problem and misunderstanding to expand method discussion and solution, which include geological model to guide the velocity interpretation and analysis, the establishment of forward velocity of the auxiliary model explaining and constructing high precision velocity model. This research basically solves existing velocity problems in gas exploration of south China sea in recent years, and proposes corresponding solution and application, which is of great significance to the further exploration and productive practice.

The west coast of South China Sea is rich in natural gas resource and has been an important natural gas exploration area for CNOOC. The Dong Fang gas field in Ying Gehai basin and the Ya Cheng gas field in Qiong Dong Nan basin are both large offshore natural gas field of China . However, in addition to the existing large gas fields put into operation, the overall prospecting degree of Ying-Qiong basin is low [

In this paper, three typical cases of velocity forecast and model building in Ying- Qiong basin are analyzed. And every case raises an unusual but pressing problem. There are three main problems: how to do velocity reprocessing and determine its accuracy, the system error existing between logging VSP velocity and velocity spectrum interpretation, and larger error occurs when predicting depth of new drilling well with the time-distance relationship of drilled wells nearby. Combined with problems above and the misunderstanding, method research is carried out and corresponding solution is put forward for every problem, which lays a solid foundation for accurate velocity prediction before drilling.

As is known to all, velocity prediction is key and difficulty for the geophysical work. Conventionally, stacking velocity is obtained by velocity spectrum interpretation, and the accuracy of interpretation is judged by flattening effect of phase axis. Under the premise of formation with no large dip angle, the stacking velocity is equivalent to root mean square velocity. Meanwhile, when the seismic data is in good quality, velocity conversion formula (e.g. the DIX formula) can be used to convert root mean square velocity into interval velocity or the average velocity which can be used in pressure prediction and time-depth conversion [

1) Direct application of imaging velocity in time-depth conversion

This is the first misunderstanding of velocity prediction. Gathers data of the same velocity spectrum point are chosen from the deepwater area in the Qiong Dong Nan basin. Three different interpretations are made, including lesser velocity, medium velocity, and biggish velocity (

2) The establishment of velocity volume can improve time-depth conversion accuracy

Many people believe that establishing velocity volume can improve the accuracy of the time-depth conversion. The idea is very wrong. The velocity volume we get through

whatever methods and software is based on single point gathers and velocity interpretation, and takes reference of the lateral variation trends of layers and longitudinal change trends of VSP data on the well site, and is obtained by the method of interpolation extrapolation. In this way, velocity accuracy of single-point velocity gathers, and velocity volume accuracy still depends upon single point velocity interpretation precision. Only on the premise of higher single point velocity interpretation precision could the data be used to build velocity volume and extract information of single point, layer and volume [

1) Target A in Dong Fang zone of Ying Ge Hai basin

Target A which is located in the central part of Ying Ge Hai basin and near Dong Fang 1-1 gas field belongs to medium deep favorable targets. The main development risk is high pressure. Before pressure prediction, we usually first carefully interpret the velocity spectrum on the design well site or nearby and then make pressure prediction combining with the typical pressure prediction model [

In order to solve this problem, the data is reprocessed (

2) Target B in Bao Dao zone of Qiong Dong Nan basin

Target B is in the Bao Dao zone northeastern of Qiong Dong Nan basin, and located between Bao Dao sag and Song Tao bulge. Before drilling the target, we concern on time-depth conversion problem. Take a drilled well as an example: there is obvious phenomenon of scissors difference between the average velocity calculated by VSP and that obtained from velocity spectrum interpretation. For the tectonic location of target B is similar with this drilled well, the average velocity of Target B obtained from velocity spectrum interpretation is adjusted according to the correction of this well.

After target B is drilled, VSP logging velocity is projected onto the velocity spectrum (

measured velocity, and though the adjusted velocity is closer, there is still error. Hereby, this example raises the second main problem that the system error exists between logging VSP velocity and velocity spectrum interpretation.

3) Larger error occur when predicting depth of new drilling well with the time-dis- tance relation of drilled wells nearby

Recently HK29B well is drilled in Haikou zone of Ying Ge Hai basin, and BD 19C well is drilled in Bao Dao zone of Qiong Dong Nan basin. Both are on high positions of structures. HK 29A well and BD19B well are already drilled. Conventional the calibrated time-depth relations of HK 29A well and BD19B well are respectively used to predict depths of HK29B well and BD 19C well. Meanwhile, fitting velocity formula is used to complete regional time-depth conversion and target layer time-depth conversion, whose trend and amplitude of depth structure are basically the same with that of time domain.

BD 19C well and HK29B well were drilled in 2012. By contrast of while-drilling velocity and post-drilling velocity, the same problem of actual depth and predicted depth is observed that large errors (HK29B 10% and BD 19C 12%) between predicted time- depth relation and actual time-depth relation and the predicted construction highness shifts. Hereby, this example raises the third main problem, namely why there exists large errors when predicting depth of new drilling well with the time-distance relationship of drilled wells nearby and how to deal with similar situations like this afterward (

1) Processing velocity with geological model for guidance

In order to answer the first main question, the method that velocity should be processed with geological model for guidance is proposed and a typical example in YGH basin is given to illustrate the idea (

2) Establishing regional stratigraphic statics velocity correction templates

As for the second problem, we can see from the second case above that there is phenomenon of scissors difference between the average velocity calculated by VSP and that obtained from velocity spectrum interpretation in different structures of QDN basin. And the differences vary from one block to another. Take QDN basin as an example. To solve this kind of problem, regional stratigraphic statics velocity correction templates of every block in this area are established according to VSP velocity of drilled wells and velocity spectrum crossing the well points. Therefore, the velocity corrected by these templates will be closer to the actual velocity when making new velocity spectrum interpretation in this area in the future.

3) Using along-horizon velocity interpretation and establishing forward modeling in assistance

The velocity spectrum is restricted by its own accuracy, especially when the target layer velocity is abnormally low or high pressure exists. To deal with the third difficulty, two solutions are given. First, project the seismic interpretation horizon in the form of normal velocity into velocity spectrum interpretation work area, and pick up velocity along the horizon (

4) Building the high precision velocity volume with velocity model corrected by information of drilled wells, horizons and geologic zonation

To solve the problem that regional velocity errors exist between new wells and drilled wells at the same structure around the diapir zone, the thinking of building velocity volume and correcting the velocity model is proposed in two steps (

Velocity model of Dong Fang diapir area in Ying Ge Hai basin is established based on the method above. First, the lateral and vertical variation characteristics of the interval velocity are obvious. The velocity is relatively low at the center of diapir area as for the high pressure, which is consistent with geological knowledge. Then, along-horizon extracted interval velocity is similar to the average velocity lateral variation characteristics and time structure feature. Velocity is significantly less than that at the diapir peripheral, and the interval velocity at the location of DF 1A well is significantly higher than that of other surrounding has drilled wells. All these results are consistent with the actual drilling results. Finally, we compare the error before and after correction. Before correcting, the errors of geological zonation vary from −30 m to 10 m and are not in a normal distribution. After correcting, the error margin is from −3 m to 3 m, and also meets the normal distribution (

It’s very difficult to predict the velocity of favorable targets in a basin with low overall prospecting degree like Ying-Qiong basin. Combined with problems and the misunderstanding, in this paper method research is carried out and corresponding solution is put forward for every problem, which lays a solid foundation for accurate velocity prediction before drilling. First, processing velocity with geological model for guidance solves the problem how to do velocity reprocessing and determine its accuracy. Then, establishing regional stratigraphic statics velocity correction templates diminish the system error existing between logging VSP velocity and velocity spectrum interpretation. Next, using along-horizon velocity interpretation and establishing forward modeling in assistance overcome the difficulty that velocity spectrum is restricted by its own accuracy. Finally, high precision velocity volume is established with velocity model corrected by information of drilled wells, horizons and geologic zonation.

In short, as long as we know more about misunderstandings, overcome the difficulties of velocity analysis and solve the important problems in the process of gas velocity prediction, ideal velocity prediction results can be obtained.

National Science and technology major special projects supported by 2016ZX05024- 005.

Liu, A.Q., Fan, C.W., Deng, Y., Zhu, P.Y., Hu, Q.W. and Song, P. (2017) Problems and Solutions of Velocity Modeling in Natural Gas Exploration. Open Journal of Marine Science, 7, 51-61. http://dx.doi.org/10.4236/ojms.2017.71005