Having a reliable seismic dataset is key for interpreting and understanding oil and gas reservoirs. A quality dataset is largely influenced by how it is treated throughout the many stages of seismic pre-processing. Noise attenuation, wavelet shaping, data regularization, trace editing and amplitude treatment are few of the steps that are applied during this phase. A properly pre-processed dataset allows for optimal performance of seismic processing algorithms down the line. Reservoir Geophysical has extensive experience in producing successful workflows to minimize random and coherent noise in seismic data while preserving the phase and relative amplitude characteristics of the primary reflection signals. We cooperate closely with our clients to choose the right combination of pre-processing techniques to produce an optimum and trustworthy dataset to meet their geologic objectives.