Maximising safety and environmental performance during onshore seismic acquisition using cable-less technology

2014 ◽  
Vol 54 (2) ◽  
pp. 496
Author(s):  
Jamie Shaw ◽  
Matt Silverman ◽  
Geoff Dunn ◽  
Katrina O'Mara
Keyword(s):  
Seismic Data ◽  
Environmental Performance ◽  
Oil And Gas ◽  
Quality Data ◽  
Oil And Gas Exploration ◽  
Recording Efficiency ◽  
Risk Of Injury ◽  
Seismic Acquisition ◽  
Seismic Data Acquisition ◽  
Negative Impacts

Recent advances in the acquisition of onshore seismic data without cables have greatly reduced impacts on environmental and heritage values and increased recording efficiency. Onshore oil and gas exploration has expanded significantly across Australia. As a result, the need to gather quality data while reducing the environmental, social, and safety impacts of the activities has driven innovation in exploration technologies. In WA, exploration permits are granted for areas that include privately held farm land, pastoral leases or unallocated crown land. This can result in tensions between exploration companies, their contractors, and land holders. Cable-less seismic data acquisition systems provide significant opportunities to reduce the environmental, community, and safety impacts. Cable-less systems typically require significantly fewer trips along the acquisition line, considerably reducing the likelihood of negative impacts on plants, animals, and soils in the area. Other benefits include reducing fuel consumption, vehicle and traffic movement and the risk of injury to the seismic crew associated with the deployment of cables. This extended abstract reviews the recent use of a cable-less system for Fleet Resources’ seismic acquisition conducted by Terrex Seismic in the Carnarvon Basin, WA, demonstrating the environmental, social, and safety benefits compared with traditional cabled systems for both 3D and 2D seismic programs. This extended abstract also draws on the experiences of Terrex’s use of the technology on behalf of UIL Energy and it explores the opportunities for capturing these benefits during the preparation of environmental and safety plans for regulatory approval.

Oil and gas exploration in Australia in 2014—a year of extremes

2015 ◽  
Vol 55 (1) ◽  
pp. 163 ◽  
Author(s):  
Peter Stickland
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Business Environment ◽  
Oil Price ◽  
Gas Flows ◽  
Leading Indicators ◽  
Unconventional Gas ◽  
Oil And Gas Exploration ◽  
Seismic Data Acquisition ◽  
Cooper Basin

In 2014, explorers in Australia experienced a range of highs and lows. There have been discoveries in new play types such as Phoenix South–1 in the Roebuck Basin, offshore WA, as well as discoveries that rejuvenate mature basins such as Seneco–3 in the onshore Perth Basin and a number of wells demonstrating unconventional gas flows in the Cooper Basin. Exploration lows include the inevitable unsuccessful wells, the general low level of drilling activity both offshore and in some states, frustrations at approval delays and constraints—particularly in NSW and Victoria—and the sharply contracting business environment towards the end of 2014 as the oil price rapidly fell to its lowest levels in five years. This PESA review looks in detail at the trends and highlights for oil and gas exploration both onshore and offshore Australia in 2014; not just outcomes with the drill bit, but also leading indicators such as seismic data acquisition and permit awards. It also seeks to be insightful and to make conclusions about the condition of oil and gas exploration in Australia, as well as comment on future implications for the industry.

Seismic data acquisition—The new millennium

Geophysics ◽  
2001 ◽  
Vol 66 (1) ◽  
pp. 54-54 ◽  
Author(s):  
Steve Roche
Keyword(s):  
Data Acquisition ◽  
Seismic Data ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Seismic Acquisition ◽  
Seismic Data Acquisition ◽  
New Millennium

As we enter the new millennium, seismic data acquisition is in an interesting position. Because of overcapacity of seismic acquisition crews related to the downturn in the oil and gas industry, acquisition technology is essentially “frozen” in place. Companies previously active in seismic data acquisition research have limited these activities, or eliminated them. Some advances related to improving the resolution of seismic data through improved acquisition methods are being made, but much more effort is being directed towards improving the efficiency of acquisition.

Review and Prospect for the Land Seismic Data Acquisition System

2013 ◽  
Vol 684 ◽  
pp. 394-397
Author(s):  
Yang Yang ◽  
Zu Bin Chen ◽  
Yan Zhang ◽  
Yu Jian Du
Keyword(s):  
Data Acquisition ◽  
Seismic Data ◽  
Oil And Gas ◽  
Data Acquisition System ◽  
Low Noise ◽  
Acquisition System ◽  
Accelerometer Sensor ◽  
Oil And Gas Exploration ◽  
Wireless Data Transmission ◽  
Seismic Data Acquisition

Essential characteristics of the seismic data acquisition system should make it capable of measuring high fidelity Seismic data，which can be used for geophysicists to fulfill a geological task. New developments of high technology in Micro-electronics and computer industries, including the extremely low-noise capacitive micro-accelerometer sensor, 24 bits A/D conversion, new generation wireless data transmission, etc. are introduced to the seismic data acquisition system to meet the requirement for global oil and gas exploration. New type of acquisition system faces the new exploration techniques, methods and tasks.

scholarly journals Wireless Geophone Networks for Land Seismic Data Acquisition: A Survey, Tutorial and Performance Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5171
Author(s):  
Aliyu Makama ◽  
Koojana Kuladinithi ◽  
Andreas Timm-Giel
Keyword(s):  
Performance Evaluation ◽  
Data Acquisition ◽  
Seismic Data ◽  
Large Scale ◽  
Oil And Gas ◽  
Control Unit ◽  
Optimal Number ◽  
Small Scale ◽  
Oil And Gas Exploration ◽  
Seismic Data Acquisition

Seismic data acquisition in oil and gas exploration employs a large-scale network of geophone sensors deployed in thousands across a survey field. A central control unit acquires and processes measured data from geophones to come up with an image of the earth’s subterranean structure to locate oil and gas traps. Conventional seismic acquisition systems rely on cables to connect each sensor. Although cable-based systems are reliable, the sheer amount of cable required is tremendous, causing complications in survey logistics as well as survey downtime. The need for a cable-free seismic data acquisition system has attracted much attention from contractors, exploration companies, and researchers to lay out the enabling wireless technology and architecture in seismic explorations. This paper gives a general overview of land seismic data acquisition and also presents a current and retrospective review of the state-of-the-art wireless seismic data acquisition systems. Furthermore, a simulation-based performance evaluation of real-time, small-scale wireless geophone subnetwork is carried out using the IEEE 802.11 g technology based on the concept of seismic data acquisition during the geophone listen or recording period. In addition, we investigate an optimal number of seismic samples that could be sent by each geophone during this period.

About this title - Seismic Characterization of Carbonate Platforms and Reservoirs

10.1144/sp509 ◽  
2021 ◽  
Vol 509 (1) ◽  
pp. NP-NP
Author(s):  
J. Hendry ◽  
P. Burgess ◽  
D. Hunt ◽  
X. Janson ◽  
V. Zampetti
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Carbonate Platform ◽  
Carbonate Platforms ◽  
Oil And Gas Exploration ◽  
Seismic Modelling ◽  
Flow Units ◽  
Development Data ◽  
Seismic Characterization

Modern seismic data have become an essential toolkit for studying carbonate platforms and reservoirs in impressive detail. Whilst driven primarily by oil and gas exploration and development, data sharing and collaboration are delivering fundamental geological knowledge on carbonate systems, revealing platform geomorphologies and how their evolution on millennial time scales, as well as kilometric length scales, was forced by long-term eustatic, oceanographic or tectonic factors. Quantitative interrogation of modern seismic attributes in carbonate reservoirs permits flow units and barriers arising from depositional and diagenetic processes to be imaged and extrapolated between wells.This volume reviews the variety of carbonate platform and reservoir characteristics that can be interpreted from modern seismic data, illustrating the benefits of creative interaction between geophysical and carbonate geological experts at all stages of a seismic campaign. Papers cover carbonate exploration, including the uniquely challenging South Atlantic pre-salt reservoirs, seismic modelling of carbonates, and seismic indicators of fluid flow and diagenesis.

A 108km2 Compressive Sensing Processing Trial

2021 ◽  
Author(s):  
Dustin Blymyer ◽  
Klaas Koster ◽  
Graeme Warren
Keyword(s):  
Compressive Sensing ◽  
Surface Waves ◽  
Seismic Data ◽  
High Frequency ◽  
Quality Data ◽  
Low Velocity ◽  
Conventional Design ◽  
Seismic Acquisition ◽  
Similar Cost ◽  
Station Density

Abstract Summary Compressive sensing (CS) of seismic data is a new style of seismic acquisition whereby the data are recorded on a pseudorandom grid rather than along densely sampled lines in a conventional design. A CS design with a similar station density will generally yield better quality data at a similar cost compared to a conventional design, whereas a CS design with a lower station density will reduce costs while retaining quality. Previous authors (Mosher, 2014) have shown good results from CS surveys using proprietary methods for the design and processing. In this paper we show results obtained using commercially available services based on published algorithms (Lopez, 2016). This is a necessary requirement for adoption of CS by our industry. This report documents the results of a 108km2 CS acquisition and processing trial. The acquisition and processing were specifically designed to establish whether CS can be used for suppression of backscattered, low velocity, high frequency surface waves. We demonstrate that CS data can be reconstructed by a commercial contractor and that the suppression of backscattered surface waves is improved by using CS receiver gathers reconstructed to a dense shot grid. We also show that CS acquisition is a reliable alternative to conventional acquisition from which high-quality subsurface images can be formed.

High-resolution seismic processing technique with broadband,wide-azimuth, and high-density seismic data - A case study of thin-sand reservoir in eastern China

2021 ◽  
pp. 1-45
Author(s):  
Qin Su ◽  
Huahui Zeng ◽  
Yancan Tian ◽  
HaiLiang Li ◽  
Lei Lyu ◽  
...  
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Single Point ◽  
Eastern China ◽  
High Density ◽  
Songliao Basin ◽  
Seismic Processing ◽  
Oil And Gas Exploration ◽  
Sand Body

Seismic processing and interpretation techniques provide important tools for the oil and gas exploration of the Songliao Basin in eastern China, which is dominated by terrestrial facies. In the Songliao Basin, a large number of thin-sand reservoirs are widely distributed, which are the primary targets of potential oil and gas exploration and exploitation. An important job of the exploration in the Songliao Basin is to accurately describe the distribution of these thin-sand belts and the sand-body shapes. However, the thickness of these thin-sand reservoirs are generally below the resolution of the conventional seismic processing. Most of the reservoirs are thin-interbeds of sand and mudstones with strong vertical and lateral variations. This makes it difficult to accurately predict the vertical and horizontal distribution of the thin-sand bodies using the conventional seismic processing and interpretation methods. Additionally, these lithologic traps are difficult to identify due to the complex controlling factor and distribution characteristics, and strong concealment. These challenges motivate us to improve the seismic data quality to help delineate the thin-sand reservoirs. In this paper, we use the broadband, wide-azimuth, and high-density integrated seismic exploration technique to help delineate the thin-reservoirs. We first use field single-point excitation and single-point receiver acquisition to obtain seismic data with wide frequency-bands, wide-azimuth angles, and high folds, which contain rich geological information. Next, we perform the near-surface Q-compensation, viscoelastic prestack time migration, seismic attributes, and seismic waveform indication inversion on the new acquired seismic data. The 3D case study indicates the benefits of improving the imaging of thin-sand body and the accuracy of inversion and reservoir characterization using the method in this paper.

Automatic, geologic layer-constrained well-seismic tie through blocked dynamic warping

2017 ◽  
Vol 5 (3) ◽  
pp. SJ81-SJ90 ◽  
Author(s):  
Kainan Wang ◽  
Jesse Lomask ◽  
Felix Segovia
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Synthetic Data ◽  
Optimal Solution ◽  
Velocity Model ◽  
Data Set ◽  
Oil And Gas Exploration ◽  
Interval Velocity ◽  
Velocity Changes ◽  
Dynamic Warping

Well-log-to-seismic tying is a key step in many interpretation workflows for oil and gas exploration. Synthetic seismic traces from the wells are often manually tied to seismic data; this process can be very time consuming and, in some cases, inaccurate. Automatic methods, such as dynamic time warping (DTW), can match synthetic traces to seismic data. Although these methods are extremely fast, they tend to create interval velocities that are not geologically realistic. We have described the modification of DTW to create a blocked dynamic warping (BDW) method. BDW generates an automatic, optimal well tie that honors geologically consistent velocity constraints. Consequently, it results in updated velocities that are more realistic than other methods. BDW constrains the updated velocity to be constant or linearly variable inside each geologic layer. With an optimal correlation between synthetic seismograms and surface seismic data, this algorithm returns an automatically updated time-depth curve and an updated interval velocity model that still retains the original geologic velocity boundaries. In other words, the algorithm finds the optimal solution for tying the synthetic to the seismic data while restricting the interval velocity changes to coincide with the initial input blocking. We have determined the application of the BDW technique on a synthetic data example and field data set.

PetroSPIRE: Indexing and retrieval of seismic data for oil and gas exploration

2003 ◽  
Author(s):  
Yuan‐Chi Chang ◽  
Matthew Hill ◽  
Chung‐Sheng Li ◽  
Randy Pepper
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Oil And Gas Exploration ◽  
Indexing And Retrieval

Hydrocarbon identification using the AVO response correction method based on high-resolution complex spectral decomposition

2020 ◽  
Vol 8 (1) ◽  
pp. SA49-SA61
Author(s):  
Huihuang Tan ◽  
Donghong Zhou ◽  
Shengqiang Zhang ◽  
Zhijun Zhang ◽  
Xinyi Duan ◽  
...  
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
Spectral Decomposition ◽  
Oil And Gas ◽  
Low Frequency ◽  
Seismic Signal ◽  
Correction Method ◽  
Bohai Bay ◽  
Oil And Gas Exploration ◽  
Response Correction

Amplitude-variation-with-offset (AVO) technique is one of the primary quantitative hydrocarbon discrimination methods with prestack seismic data. However, the prestack seismic data are usually have low data quality, such as nonflat gathers and nonpreserved amplitude due to absorption, attenuation, and/or many other reasons, which usually lead to a wrong AVO response. The Neogene formations in the Huanghekou area of the Bohai Bay Basin are unconsolidated clastics with a high average porosity, and we find that the attenuation on seismic signal is very strong, which causes an inconsistency of AVO responses between seismic gathers and its corresponding synthetics. Our research results indicate that the synthetic AVO response can match the field seismic gathers in the low-frequency end, but not in the high-frequency components. Thus, we have developed an AVO response correction method based on high-resolution complex spectral decomposition and low-frequency constraint. This method can help to achieve a correct high-resolution AVO response. Its application in Bohai oil fields reveals that it is an efficient way to identify hydrocarbons in rocks, which provides an important technique for support in oil and gas exploration and production in this area.

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